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lisia81 · 11 months

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Con Gank your heart credo di aver concluso la visione di tutto quello che è facilmente reperibile sugli esport cinesi.

Mi è piaciuto? Diciamo più di altri, anche se questo drama ha le sue pecche.

Partiamo dalle cose positive. Credo che il personaggio principale sia stato appositamente cucito su Wang Yi Bo. Sguardo accattivante, occhi da birbante, cuore scintillante, il tuo nome è Yi Xiancong! Balla, va in moto, gioca basket, fa gruppo, ci mancava che lo facessero cantare (a un certo punto gli hanno pure dato in mano una chitarra ma per decenza si sono fermati all’accordatura) e gli facevano fare il repertorio completo!

Quando si parla di esport comunque il fattore X è la squadra. In questo drama le squadre sono parecchie, con i loro problemi, amicizie e gelosie, sotterfugi. Il filo conduttore è naturalmente il protagonista che sul finale riesce a ricreare la squadra perfetta i Fenix. La fratellanza, l’amormia, l’interazione, il feeling mi ha ricordato molto quella presente tra i mitici ragazzi della KK. Perché infondo la morale è sempre la stessa: l’unione fa la forza! E la gloria del paese uber alles!

Il personaggio che comunque mi è piaciuto di più è Pei Xi interpretato da Jerry Jan. Ha una sua crescita evolutiva. Pur essendo in cima alle classifiche di questo sport decide che, migliorare caratterialmente è la cosa più importante. Sopratutto è un personaggio senza filtri. Dice ciò che pensa senza problemi. Spesso non viene compreso è preso sul serio dagli altri protagonisti proprio per il suo modo di agire e dire le cose, perché gli escono in maniera candida. Se il suo interesse per Xiangkong derivi solo da ammirazione e desiderio di appartenenza ad un gruppo o da altro, non è dato saperlo e viene lasciato all’interpretazione di ognuno di noi. Comunque promosso in pieno!

In una recensione di @dilebe06 ricordo le sue parole su Tong Niang di Go go squid. Inutile e senza uno scopo nella vita se non esistere per il protagonista . In questo drama gli autori si sono impegnati un po’ di più e hanno dato qualche obbiettivo a questa ragazza. Tanto che, ad un certo punto, Qiu Yin senza grosse spiegazioni e remore , prende e se ne va per proseguire la sua carriera. Della serie: ci siamo ripromessi di arrivare insieme sul tetto de mondo? Ok io intanto ci vado, te anche se sei infognato, mi raccomando sdoganati e semmai poi raggiungimi! Uno a questo punto penserebbe: finalmente una protagonista tosta! Che ha fiducia in se è nel suo amore! Macché piange una volta si è l’altra pure.. comunque di per se è un personaggio positivo anche se con qualche pecca!

Passiamo alle note dolenti.

Se mi chiedete quale è cosa che più mi fa saltare i nervi in un drama è la mancanza di comunicazione fra i due lead. Di solito produce malintesi che durano anche puntate. Gank your heart non sfugge a questa maledizione. Che si ripete più volte. Che distrugge ogni volta i protagonisti. Ma che per assurdo hanno il loro sogno e sembrano delle moderne Rossella O’hara e si ripetono, “ non lo posso affrontare ora, ci penserò domani, dopotutto domani è un altro giorno!”. E giuro, verso la decima puntata Qiu Yin ad un certo punto una frase del genere la dice pure!

Altra nota dolente. La fidanzata di ritorno. Non so voi, ma io se vedessi il mio ex dopo 5 anni, con il vissuto che ci raccontano avere avuto Xiangkong e Mi Ya , io l’unica cosa che farei è sputargli in un occhio! O semplicemente ignorare la sua esistenza perché sai che porterà solo rogne. Xiangkong non lo fa perché è un orsetto di buon cuore, un suo reale interesse non l’ho mai visto, ma mi domando perché (???!!!!)Qiu Yin invece pensa che sia possibile. Ok lui non gli ha mai raccontato nulla de suo passato, ma se è passato un motivo ci sarà! Sei bella, carina, dolce, sensibile, state bene insieme non lasciare che siano gli altri a decidere la tua vita sentimentale!

Idem Mi Ya. Ha rinunciato a te 5 anni prima dopo averti aiutato e sostenuto fino a quando sei arrivata al successo. Per 5 anni al massimo lo hai invitato ai tuoi concerti. Ti svegli una mattina a e ti dici: Cosa mi manca? Una scarpa si lusso, una chitarra nuova, Xiangkong? Aspetta che torno e me lo riprendo! Urca, ha una fidanzata! Non la conosco eh, ma da quello che leggo su weibo è di sicuro una mia pallida imitazione! Quindi fatemi strada! Ma bella mia, la gente vive! Interagisce, cambia! Anche tu sarai cambiata! Su forza ragazza che ci hai messo 20 puntate a capirlo!

A chiusura posso dire 35 puntate piacevoli, senza troppi flash back, pathos non da cardiopalma e contenuto leggero. Se piace il genere esport vale la pena vederlo e nella mia personale graduatoria lo piazzo sopra al sopravalutato Falling into your smile.

Ps. Per capire il titolo ci ho messo una giornata e mezza e scrivere qua tutti i pensieri che avevo in testa.

#madeinchina #cdrama #gank your heart #ji xiangkong #esports

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bookofjin · 2 years

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Administrative geography of Western Han (34,115)

According to Ban Gu's Book of Han.

Places names on the map:

You 幽州

Bohai勃海郡

Yangxin陽信

Dongguang東光

Fucheng阜城

Qiantong千童

Zhonghe重合

Ding定

Gaole高樂

Linle臨樂

Zhongping重平

Tiaoshi脩市

Zhangxiang章鄉

Puling蒲領

Ji冀州

Guangping廣平國

Quzhou曲周

Nanqu南曲

Xindu信都國

Xindu信都

Li歷

Fuliu扶柳

Biyang辟陽

Nangong南宮

Xiabo下博

Wuyi武邑

Guanjin觀津

Gaodi高隄

Guangchuan廣川

Lexiang樂鄉

Pingdi平隄

Tao桃

Xiliang西梁

Changcheng昌成

Dongchang東昌

Xiu脩

Hejian 河間國

Gonggao弓高

Wei魏郡

Guantao館陶

Qingyuan清淵

Wei魏

Yuancheng元城

Yin'an陰安

Ping'en平恩

Julu鉅鹿郡

Nanluan南䜌

Linping臨平

Shi貰

Qiao郻

Xinshi新巿

Tangyang堂陽

Lixiang歷鄉

Lexin樂信

Qinghe清河郡

Qingyang清陽

Dongwucheng東武城

Yimu繹幕

Ling靈

Cuo厝

Shu鄃

Beiqiu貝丘

Xincheng信成

Souti𢘿題

Dongyang東陽

Xinxiang信鄉

Liao繚

Zaoqiang棗彊

Fuyang復陽

Yan 兗州

Dong東郡

Liaocheng聊城

Dunqiu頓丘

Fagan發干

Fan范

Chiping茬平

Dongwuyang東武陽

Boping博平

Li黎

Qing清

Dong'e東阿

Lihu離狐

Linyi臨邑

Xuchang須昌

Shouliang壽良

Lechang樂昌

Yangping陽平

Linqiu廩丘

Chenliu陳留郡

Cheng'an成安

Ningling寧陵

Xiangyi襄邑

Yan傿

Shanyang山陽郡

Changyi昌邑

Nanpingyang南平陽

Chengwu成武

Huling湖陵

Dongmin東緍

Fangyu方與

Tuo橐

Juye鉅野

Shanfu單父

Bo薄

Duguan都關

Chengdu城都

Huang黃

Yuanqi爰戚

Gaocheng郜成

Pingle平樂

Xiaqiu瑕丘

Xiyang西陽

Jiyin濟陰郡

Dingtao定陶

Yuanqu冤句

Lüdu呂都

Jiami葭密

Chengyang成陽

Juancheng鄄城

Gouyang句陽

Du秺

Chengshi乘氏

Chengyang 城陽國

Ju莒

Yangdu陽都

Dong'an東安

Lü慮

Huaiyang淮陽國

Zhe柘

Dongping東平國

Wuyan無鹽

Rencheng任城

Dongpinglu東平陸

Fucheng富城

Zhang章

Kangfu亢父

Fan樊

Taishan泰山郡

Fenggao奉高

Bo博

Chi茬

Lu盧

Feicheng肥成

Yiqiu蛇丘

Gang剛

Chai柴

Gai蓋

Liangfu梁父

Dongpingyang東平陽

Nanwuyang南武陽

Laiwu萊蕪

Juping鉅平

Ying嬴

Mou牟

Mengyin蒙陰

Hua華

Ningyang寧陽

Shengqiu乘丘

Fuyang富陽

Taoshan桃山

Taoxiang桃鄉

Qing青州

Zichuan甾川國

Ju劇

Dong'anping東安平

Louxiang樓鄉

Jiaodong 膠東國

Jimo即墨

Xiami下密

Zhuangwu壯武

Yuzhi郁秩

Ting挺

Guanyang觀陽

Zoulu鄒盧

Gaomi高密國

Gaomi高密

Chang'an昌安

Shiquan石泉

Yi'an夷安

Chengxiang成鄉

Pingyuan平原郡

Pingyuan平原

Ge鬲

Gaotang高唐

Zhongqiu重丘

Pingchang平昌

Yu羽

Ban般

Leling樂陵

Zhu'e祝阿

Yuan瑗

Eyang阿陽

Tayin漯陰

Li朸

Fuping富平

Ande安悳

Louxu樓虛

Long'e龍頟

An安

Qiancheng千乘郡

Qiancheng千乘

Dongzou東鄒

Shiwo溼沃

Ping'an平安

Bochang博昌

Liaocheng蓼城

Jianxin建信

Di狄

Langhuai琅槐

Le'an樂安

Beiyang被陽

Gaochang高昌

Gaowan高宛

Yanxiang延鄉

Ji'nan濟南郡

Dongpingling東平陵

Zouping鄒平

Tai臺

Liangzou梁鄒

Tugu土鼓

Yuling於陵

Yangqiu陽丘

Panyang般陽

Jian菅

Zhaoyang朝陽

Licheng歷城

You猇

Zhu著

Yicheng宜成

Qi齊郡

Linzi臨淄

Changguo昌國

Li利

Xi'an西安

Juding鉅定

Guang廣

Guangrao廣饒

Linqu臨朐

Taixiang臺鄉

Beihai北海郡

Yingling營陵

Jukui劇魁

Anqiu安丘

Chunyu淳于

Yi益

Pingshou平壽

Ju劇

Duchang都昌

Pingwang平望

Liuquan柳泉

Shouguang壽光

Lewang樂望

Rao饒

Zhen斟

Sangdu桑犢

Pingcheng平城

Mixiang密鄉

Chengxiang成鄉

Jiaoyang膠陽

Donglai東萊郡

Ye掖

Chui腄

Pingdu平度

Huang黃

Linqu臨朐

Qucheng曲成

Mouping牟平

Dongmou東牟

Jian㡉

Yuli育犁

Changyang昌陽

Buye不夜

Dangli當利

Luxiang盧鄉

Yangle陽樂

Yangshi陽石

Xuxiang徐鄉

Yu豫州

Liang梁國

Dang碭

Zi甾

Shuqiu杼秋

Meng蒙

Yishi已氏

Yu虞

Xiayi下邑

Suiyang睢陽

Lu魯國

Lu魯

Bian卞

Wenyang汶陽

Pi蕃

Zou騶

Xue薛

Pei沛郡

Xiao蕭

Guangqi廣戚

Feng豐

Gongqiu公丘

Jingqiu敬丘

Pei沛

Jianping建平

Li栗

Fuyang扶陽

Qixiang祈鄉

Xu 徐州

Chu楚國

Pengcheng彭城

Liu留

Wu梧

Fuyang傅陽

Lü呂

Wuyuan武原

Langye琅邪郡

Dongwu東武

Buji不其

Haiqu海曲

Ganyu贛榆

Zhuxu朱虛

Zhu諸

Wucheng梧成

Lingmen靈門

Gumu姑幕

Linyuan臨原

Langye琅邪

Fei祓

Ju柜

Ping缾

Fu邞

Qianzou黔陬

Jijin計斤

Dao稻

Gaoyu皋虞

Pingchang平昌

Changguang長廣

Heng橫

Dongguan東莞

Weiqi魏其

Chang昌

Zixiang茲鄉

Ji箕

Bi椑

Gaoguang高廣

Gaoxiang高鄉

Li麗

Xinshan新山

Gaoyang高陽

Kunshan昆山

Zhequan折泉

Fangshan房山

Anqiu安丘

Donghai東海郡

Tan郯

Lanling蘭陵

Xiangfei襄賁

Xiapi下邳

Liangcheng良成

Pingqu平曲

Qi戚

Qu朐

Kaiyang開陽

Bi費

Licheng利成

Haiqu海曲

Zeng繒

Nancheng南成

Jiqiu即丘

Zhuqi祝其

Linyi臨沂

Houqiu厚丘

Rongqiu容丘

Dong'an東安

Hexiang合鄉

Zheng承

Jianyang建陽

Quyang曲陽

Siwu司吾

Duyang都陽

Yinping陰平

Wuxiang郚鄉

Xinyang新陽

Jianling建陵

Changlu昌慮

Not located

Dong東郡

Panguan畔觀

Limiao利苗

Shanyang山陽郡

Zhongxiang中鄉

Zheng鄭

Zixiang甾鄉

Lixiang栗鄉

Quxiang曲鄉

Jiaodong 膠東國

Changwu昌武

Pingyuan平原郡

Heyang合陽

Qiancheng千乘郡

Fan'an繁安

Taishan泰山郡

Shi式

Qi齊郡

Zhaonan昭南

Beixiang北鄉

Pingguang平廣

Beihai北海郡

Zhi瓡

Pingdi平的

Yangshi羊石

Ledu樂都

Shixiang石鄉

Shangxiang上鄉

Xincheng新成

Langye琅邪郡

Xushui虛水

Yujia雩假

Yun雲

Rou柔

Jilai即來

Wuxiang武鄉

Yixiang伊鄉

Canfeng參封

Boshi博石

Shenxiang慎鄉

Siwang駟望

Gaoling高陵

Lin'an臨安

Shishan石山

Donghai東海郡

Lanqi蘭祺

Shanxiang山鄉

Jianxiang建鄉

Yuxiang于鄉

Pingqu平曲

Wuyang武陽

Duping都平

County locations and ancient rivers, lakes, and shorelines from The Historical Atlas of China.

I have intentionally stuck to the Hanshu where it differs from the Historical Atlas.

#western han

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eyenaku · 1 year

Note

Ji ji fu ji ji

a o e i i er ai ei ao ou an en ang eng ong i ia iao ie iu ian in iang ing iong u ua uo uai ui uan un uang ueng ü üe üan ün a o e er ai ao ou an en ang eng yi ya yao ye you yan yin yang ying yong wu wa wo wai wei wan wen wang weng yu yue yuan yun b ba bo bai bei bao ban ben bang beng bi biao bie bian bin bing bu p pa po pai pei pao pou pan pen pang peng pi piao pie pian pin ping pu m ma mo me mai mei mao mou man men mang meng mi miao mie miu mian min ming mu f fa fo fei fou fan fen fang feng fu d da de dai dei dao dou dan den dang deng dong di diao die diu dian ding du duo dui duan dun t ta te tai tei tao tou tan tang teng tong ti tiao tie tian ting tu tuo tui tuan tun n na ne nai nei nao nou nan nen nang neng nong ni niao nie niu nian nin niang ning nu nuo nuan nü nüe l la le lai lei lao lou lan lang leng long li lia liao lie liu lian lin liang ling lu luo luan lun lü lüe g ga ge gai gei gao gou gan gen gang geng gong gu gua guo guai gui guan gun guang k ka ke kai kei kao kou kan ken kang keng kong ku kua kuo kuai kui kuan kun kuang h ha he hai hei hao hou han hen hang heng hong hu hua huo huai hui huan hun huang z za ze zi zai zei zao zou zan zen zang zeng zong zu zuo zui zuan zun c ca ce ci cai cao cou can cen cang ceng cong cu cuo cui cuan cun s sa se si sai sao sou san sen sang seng song su suo sui suan sun zh zha zhe zhi zhai zhei zhao zhou zhan zhen zhang zheng zhong zhu zhua zhuo zhuai zhui zhuan zhun zhuang ch cha che chi chai chao chou chan chen chang cheng chong chu chua chuo chuai chui chuan chun chuang sh sha she shi shai shei shao shou shan shen shang sheng shu shua shuo shuai shui shuan shun shuang r re ri rao rou ran ren rang reng rong ru rua ruo rui ruan run j ji jia jiao jie jiu jian jin jiang jing jiong ju jue juan jun q qi qia qiao qie qiu qian qin qiang qing qiong qu que quan qun x xi xia xiao xie xiu xian xin xiang xing xiong xu xue xuan xun

#‼️mutual #get tone-d

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mrthoughtbubbles · 1 month

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youtube

A while ago, I finished watching Cafe. Waiting. Love

Upon reading the name of the singer in this music video, Harlem Yu, he reminds me of an old song of his from Meteor Garden, named Qing Fei De Yi. It's really nice that I now know two songs that he sang.

With regard to the list of Taiwanese Romantic films to watch that I posted before, I've noticed that I see Vivian Sung a lot, starting with Xiao Mi from Till We Meet Again. Consider me a fan of her performances/roles.

As for the film, I was laughing most of the time whilst watching. I find the film to be wacky, with Ah-Tuo wearing a bikini, holding a cabbage, and whilst also on rollerblades. On another note, I saw them playing Chinese Checkers in the film and it brought back some memories of my childhood wherein we played the said game. As the story progresses, you'll start to uncover the stories and reasons behind the characters you meet along the way.

Nearing the end, everything just clicked, it gave me a little bit of the Till We Meet Again vibes, and I love how the story of the cafe owner, Brother Bao's and Lee Si Ying' and Ah-Tuo's story went full circle.

P.S.:

I noticed that I cry more often when retelling the hard-hitting parts of the story to my family, and after doing so, I feel better about it and I appreciate the film more.

#Youtube

0 notes

amitabhabuddha · 1 month

Text

阿弥陀佛 Daily Practice

Namo Changzu 10 Fang Fo,

Namo Changzu 10 Fang Fa,

Namo Changzu 10 Fang Shen,

Namo Ben Shi Shi Jia Moni Fo x 3 times

Wu Sharng Sen Sen Wei Miao Fa, Bai Chien Wan Jie Nan Zhou Yu, Wo Jin Jian Wen De Shou Ze, Yuan Jie Ru Lai Zhen Shi Yi.

Chan Kui Wen.

Life's Main Reason Is Suffering (Sen Ming De Benze Se Tong Ku)

Life's Main Purpose Is To Seek Liberation (Sen Ming De Mu Ti Se Jie Toh)

Life's Main Motivation Is Compassion (Sen Ming De Yi Yi Se Chi Pei)

Bao Ji Ru Lai

Start - Basic (10.30 am)

Xu kung jin, Zung sherng jin, Niet pan jin, Wo yuan nai jin.

Hui hung zhun, zhung sharng jun, nit pun jun, ngo yun nai zhun.

Mouth (om soli soli..), Body (om sowa..) x7

Multiplier mantra 4x108, Done 77

Om Ram (Om Ram....Svaha), x 108 (use jixiang yin, thumb at 4th finger), Done 77

Om Chrine (7 times, one protect hse, three protects whole place, seven protects the country, use jinguang yin, thumb closed by all fingers) x108, Done 78

Earth Gods of Five Directions mantra (Namo Samanta Buddhanam Om Dulu Dulu Di Wei Soha) x3 per day, Done 282

Stupa mantra x3 per day, Done 149

A va la ka kia, Done 17

Sakyamuni Buddha mantra 4x108 Done 36.75

Cundi Bodhisattva Mantra

(Namaḥ Saptānāṃ Samyaksaṃbuddha Koṭīnāṃ Tadyathā Oṃ Cale Cule Cundī) x108, Done 33.5

Oṃ Cale Cule Cundī Svāhā x 108, Done 125

Om Mani Padme Hum, A Ah Sha Sa Ma Ha 1x108 per day, Done 115

Usnisa Vijaya mantra, Om Bhrum Soha - 1x108 per day, Done 115

Om Bhrum x 108, Done 77

Part 1 (11.30 am)

Om Vasudhare Svaha x108, Done 57

Namo Samantha Buddhanam Om Mahakalaye Svaha x108, Done 17

Om Mahakalaye Svaha x1080, Done 44

(20x27x2 = 1080 or 60 x small beads)

Part 2 (12.30 am), Lunch @ 1.30 pm

(108)

Medicine Buddha long mantra, Medicine Buddha heart mantra, Done 34

Manjushri mantra, Done 11.5

Om Avira Hum Kachara Mum Soha, Done 11.5

Earth store mantra, Done 11.5

7th Past Parents mantra, Done 11.5

Long life mantra (Om sam), Done 11.5

Om ye ye nan, 32.75

Food mantra, Done 30.25

Water offering mantra, Done 30.25

Liberate small water being mantra, Done 26.75

Om Bo bo Ti li, Cher (li) To li, Dan tuo ye tuo ye, Done 24.25

Om Maiyura Krante Svaha, Done 22.5

Om Ah Hum, Done 85.5

Part 3 (3.30 pm)

Amitabha (Nian Fo) x108 (6 syllable), 2x108 (4 syllable), Done 56

Avalokiteśvara x108, Done 55

Mahasthamaprapta x108, Done 55

Ksitigarbha x108, Done 55

Yeok Yan Yuk Liew Ji, Sam (3) Sai Yat Cai Fatt, Yin Dong Yu Si Kun, Sum (heart) Zhou G Yu Loi.

Heart sutra x3 per day, Done 149

Tadyatha om gate gate paragate parasamgate bodhi svaha x108, Done 13

Compassionate mantra x3 per day, Done 158

Om Du lin, Du lin, Jia Du lin Soha x108, Done 13

Om Ji zhi ya Soha x108, Done 11.75

7 Buddha Names x3 per day, Done 78 days

Eliminate karma by 7 buddhas mantra x108, Done 11

Pureland rebirth mantra x108, Done 11

Om Pu Kam (Pureland), Light mantra x108, Done 11

Acala Heart Mantra (Namah Samanta Vajranam Ham) x108, Done 14

Oṃ Bodhicittam Utpādayāmi, x14 per day, x108, Done 11

Part 4 End (6.50 pm), Dinner @ 7.30 pm

(108)

Tara mantras

- Green, Done 11.25

- Red, Done 11.25

- White (Om Tare Tuttare Ture Mama Ayuh Punya Jñana Pustim Kuru Svaha), Done 11.25

Setrap mantra, Done 11.25

Dorje Shugden Mantra (Om Benza Wiki Bitana Soha), Done 11.25

~ Shize

Om Benza Wiki Bitana Shanti Siddhi Hung, Done 11.25

Om Benza Wiki Bitana Ayu Siddhi Hung, Done 11.25

During pandemic, Om Benza Wiki Bitana Chintau Kuru Ye Soha, Done 11.25

~ Gyenze

(Om Benza Wiki Bitana Soha, Tseso Paljor Long Cho, Thamched Putrim Kuru Om), Done 11.25

Om Benza Satto Hung, Done 14

During 8 Kwanzai

(7x per day)

Surangama mantra, Done 439

Om Amarani Jivantiye Svaha, Done 333

Om Maitri Maha Maitri Maitriye Svaha, Done 555

Om Alolika Svaha, Done 333

Mahapratisara Bodhisattva

(Om Bhara Bhara Sambhara Sambhara Indriya Visudhani Ha Ha Ru Ru Ca Re Svaha), Done 333

Om Kurukulle Hrih Svaha, Done 333

Oṃ āḥ hūṃ vajra guru padma siddhi hūṃ, Done 333

Je Tsongkhapa/Jungkapa, Done 333

(Om Ah Guru Benzadhara Sumati Kirti Siddhi Hum Hum)

Om Garbe Ragam Soha, Done 333

Om Benza Wiki Bitana Soha

Om Benza Wiki Bitana Shanti Siddhi Hung ~ peace

Om Benza Wiki Bitana Ayu Siddhi Hung

~ health

Om Benza Wiki Bitana Punye Siddhi Hung

~ increase, done 499

Om Benza Wiki Bitana Washam Kuru Ho

~ control, done 499

Om Benza Wiki Bitana Rakya Rakya Hung

~ protection, done 499

Namkar Barzin (Om Biyada-Par Dhama-Dhara Soha), Done 499

Zambala of Five Directions (Om Zambala Gari Zanayeh Soha), Done 555

Yellow Zambala (Om Zambala Zalendraye Soha), Done 555

Om Samaya Cha, Done 333

Hum Mama Hum Ni Soha, Done 333

TADYATHA OM ANALE ANALE KHASAME KHASAME BHAYRE BHAYRE SAUMA SAUME SARVA BUDDHA ADISHTANA ADISHTITE SOHA OM SARVA TATHAGATHA USHINISHA SITATAPUTRA HUM PHAT HUM MAMA HUM NI SOHA

Medicine Buddha (3 times per day), Done 234

Namo bhagavate bhaiśajyaguru vaidūryaprabharājāya tathāgatāya arhate samyaksambuddhāya tadyathā: oṃ bhaiśajye bhaiśajye bhaiśajya-samudgate svāhā.

Makura (Buddhist Patron protector of the zodiac sign monkey), 7x per day, Done 499 Bhaisajya-guru-vaidurya-prabha-raja Tathagata

(3 times per day)

Akshobhaya (Pudong Rulai), Done 234

- Namo bhagavate Akshobhaya, tathagataya arhate samyaksambuddhaya.

Tadyatha Om kamkani kamkani, Rochani rochani, Trotani trotani, Trasani trasani, Pratihana pratihana, Sarva karma paramparanime sarva sattvanancha svaha

Target: 60 per month with 5 to 6 days of 8 kwanzai. Each time 26 to 34, each day 10 to 15 times until reached 60 or more.

Calculation:

49, 147, 343, 686, 1323, 12.25

45, 135, 315, 630, 1215, 11.25

44, 132, 308, 616, 1188, 11

43, 129, 301, 602, 1161, 10.75

41, 123, 287, 574, 1107, 10.25

40, 120, 280, 560, 1080, 10

39, 117, 273, 546, 1053, 9.75

35, 105, 245, 490, 945, 8.75

34, 102, 238, 476, 918, 8.5

33, 99, 231, 462, 891, 8.25

31, 93, 217, 434, 837, 7.75

30, 90, 210, 420, 810, 7.5

28, 84, 196, 392, 756, 7

27, 81, 189, 378, 729, 6.75

26, 78, 182, 364, 702, 6.5

25, 75, 175, 350, 675, 6.25

22, 66, 154, 308, 594, 5.5

20, 60, 140, 280, 540, 5

19, 57, 133, 266, 513, 4.75

15, 45, 105, 210, 405, 3.75

14, 42, 98, 196, 378, 3.5

13, 39, 91, 182, 351, 3.25

11, 33, 77, 154, 297, 2.75

10, 30, 70, 140, 270, 2.5

9, 27, 63, 126, 243, 2.25

8, 24, 56, 112, 216, 2

7, 21, 49, 98, 189, 1.75

6, 18, 42, 84, 162, 1.5

5, 15, 35, 70, 135, 1.25

4, 12, 28, 56, 108, 1

3, 9, 21, 42, 81, 0.75

2, 6, 14, 28, 54, 0.5

1, 3, 7, 14, 27, 0.25

Mantra of Ferocious Eating 殘食咒為(Namah samanta vajranam, trat, amogha canda, maha rosana, sphataya, hum, tramaya, hum trat ham mam), Done 3

Others:

+ Cui sui chow

Om tore tore cha tore so poho

Om Lan Soha

Om Chrine

Om Brim

Om Pu Kam (Pureland).

Om Bodhicitta, Mudaba, Dayami.

Om abichanaga

Am Bi Chanaga.

Om da de da de mohe dade svaha.

Om Mani Padme Hung A a sa sa maha

Namo bhagavate...x4

Om Amida Ayu Dadi Soha

Food Mantra

Ganlu sui zhou

Namo bo bo ti li, cher (li) to li, dan tuo ye tuo ye

Om mani facili hum

Om Ami Dewa Hrih

Om Kurukulle Hrih Svaha

#daily practice

0 notes

jcmarchi · 5 months

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Google at NeurIPS 2023

New Post has been published on https://thedigitalinsider.com/google-at-neurips-2023/

Google at NeurIPS 2023

This week the 37th annual Conference on Neural Information Processing Systems (NeurIPS 2023), the biggest machine learning conference of the year, kicks off in New Orleans, LA. Google is proud to be a Diamond Level sponsor of NeurIPS this year and will have a strong presence with >170 accepted papers, two keynote talks, and additional contributions to the broader research community through organizational support and involvement in >20 workshops and tutorials. Google is also proud to be a Platinum Sponsor for both the Women in Machine Learning and LatinX in AI workshops. We look forward to sharing some of our extensive ML research and expanding our partnership with the broader ML research community.

Attending for NeurIPS 2023 in person? Come visit the Google Research booth to learn more about the exciting work we’re doing to solve some of the field’s most interesting challenges. Visit the @GoogleAI X (Twitter) account to find out about Google booth activities (e.g., demos and Q&A sessions).

You can learn more about our latest cutting edge work being presented at the conference in the list below (Google affiliations highlighted in bold). And see Google DeepMind’s blog to learn more about their participation at NeurIPS 2023.

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization Adel Javanmard, Vahab Mirrokni

Better Private Linear Regression Through Better Private Feature Selection Travis Dick, Jennifer Gillenwater*, Matthew Joseph

Binarized Neural Machine Translation Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani*, Zhiru Zhang, Orhan Firat

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

Boosting with Tempered Exponential Measures Richard Nock, Ehsan Amid, Manfred Warmuth

Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

Deep Contract Design via Discontinuous Networks Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasia Koloskova*, Ryan McKenna, Zachary Charles, J Keith Rush, Hugh Brendan McMahan

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products Tamas Sarlos, Xingyou Song, David P. Woodruff, Qiuyi (Richard) Zhang

Module-wise Adaptive Distillation for Multimodality Foundation Models

Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

Multi-Swap k-Means++ Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis

OpenMask3D: Open-Vocabulary 3D Instance Segmentation Ayça Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning Dami Choi*, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Hall, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer

Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu*, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das, Sonia Chernova, Been Kim

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Emanuele Bugliarello*, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

Subject-driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao*, Bahare Fatemi, Mike Burrows, Charith Mendis*, Bryan Perozzi

Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew D. Hoffman, David Dohan*, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints Jayadev Acharya, Clement L. Canonne, Ziteng Sun, Himanshu Tyagi

What You See is What You Read? Improving Text-Image Alignment Evaluation Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar

Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu*, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing “Spurious” Correlations Qingyao Sun, Kevin Patrick Murphy, Sayna Ebrahimi, Alexander D’Amour

Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam

Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy Amit Daniely, Nathan Srebro, Gal Vardi

A Computationally Efficient Sparsified Online Newton Method Fnu Devvrit*, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S Dhillon

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji

Double Auctions with Two-sided Bandit Feedback Soumya Basu, Abishek Sankararaman

Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training Rie Johnson, Tong Zhang*

Large Graph Property Prediction via Graph Segment Training Kaidi Cao*, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis*, Jure Leskovec, Bryan Perozzi

On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon

On Student-teacher Deviations in Distillation: Does it Pay to Disobey? Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

Optimal Cross-learning for Contextual Bandits with Unknown Context Distributions Jon Schneider, Julian Zimmert

Near-Optimal k-Clustering in the Sliding Window Model David Woodruff, Peilin Zhong, Samson Zhou

Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

Recommender Systems with Generative Retrieval Shashank Rajput*, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh*, Kangwook Lee, Kimin Lee*

Replicable Clustering Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou

Replicability in Reinforcement Learning Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou

Riemannian Projection-free Online Learning Zihao Hu, Guanghui Wang, Jacob Abernethy

Sharpness-Aware Minimization Leads to Low-Rank Features Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion

What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, Stefanie Jegelka

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain

Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du*, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter

Does Visual Pretraining Help End-to-End Reasoning? Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Effective Robustness Against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi*, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel*, Yao Qin

Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler*, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala

Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain, Krzysztof Choromanski, Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

Nash Regret Guarantees for Linear Bandits Ayush Sawarni, Soumyabrata Pal, Siddharth Barman

A Near-Linear Time Algorithm for the Chamfer Distance Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten.

On Differentially Private Sampling from Gaussian and Product Distributions Badih Ghazi, Xiao Hu*, Ravi Kumar, Pasin Manurangsi

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh*, Marek Petrik

ResMem: Learn What You Can and Memorize the Rest Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

Responsible AI (RAI) Games and Ensembles Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar

RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti

Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

Simplicity Bias in 1-Hidden Layer Neural Networks Depen Morwani*, Jatin Batra, Prateek Jain, Praneeth Netrapalli

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding Paul-Edouard Sarlin*, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen

SOAR: Improved Indexing for Approximate Nearest Neighbor Search Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar

StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee*, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang*, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen*, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

Two-Stage Learning to Defer with Multiple Experts Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

AdANNS: A Framework for Adaptive Semantic Search Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan*, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen

Causal-structure Driven Augmentations for Text OOD Generalization Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, Aleksander Holynski

Fully Dynamic k-Clustering in Õ(k) Update Time Sayan Bhattacharya, Martin Nicolas Costa, Silvio Lattanzi, Nikos Parotsidis

Improving CLIP Training with Language Rewrites Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

<!–k-Means Clustering with Distance-Based Privacy Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong

–>

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management Dhawal Gupta*, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh*, Craig Boutilier

Optimal Unbiased Randomizers for Regression with Label Differential Privacy Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang

Paraphrasing Evades Detectors of AI-generated Text, but Retrieval Is an Effective Defense Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun*, Weijun Wang, Qihang Yu*, Andrew Howard, Philip Torr, Liang-Chieh Chen*

Robust and Actively Secure Serverless Collaborative Learning Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu

Structured Prediction with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong

Affinity-Aware Graph Networks Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections Chun-Han Yao*, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

Black-Box Differential Privacy for Interactive ML Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer

Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits Haolin Liu, Chen-Yu Wei, Julian Zimmert

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

Xiuye Gu, Yin Cui*, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen*, David Ross

Easy Learning from Label Proportions Robert Busa-Fekete, Heejin Choi*, Travis Dick, Claudio Gentile, Andres Munoz Medina

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh, Mahdi Haghifam*, Thomas Steinke, Abhradeep Guha Thakurta

Finding Safe Zones of Markov Decision Processes Policies Lee Cohen, Yishay Mansour, Michal Moshkovitz

Focused Transformer: Contrastive Training for Context Scaling Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu*, Henryk Michalewski, Piotr Miłoś

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

H-Consistency Bounds: Characterization and Extensions Anqi Mao, Mehryar Mohri, Yutao Zhong

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener, Ofir Nachum, Joan Bruna

Most Neural Networks Are Almost Learnable Amit Daniely, Nathan Srebro, Gal Vardi

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Wei-Ning Chen, Dan Song, Ayfer Ozgur, Peter Kairouz

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance Jingfeng Wu*, Wennan Zhu, Peter Kairouz, Vladimir Braverman

RETVec: Resilient and Efficient Text Vectorizer Elie Bursztein, Marina Zhang, Owen Skipper Vallis, Xinyu Jia, Alexey Kurakin

Symbolic Discovery of Optimization Algorithms Xiangning Chen*, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa F. Polania, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

A Trichotomy for Transductive Online Learning Steve Hanneke, Shay Moran, Jonathan Shafer

A Unified Fast Gradient Clipping Framework for DP-SGD William Kong, Andres Munoz Medina

Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh

(Amplified) Banded Matrix Factorization: A unified approach to private training Christopher A Choquette-Choo, Arun Ganesh, Ryan McKenna, H Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu

Adversarial Resilience in Sequential Prediction via Abstention Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam

Android in the Wild: A Large-Scale Dataset for Android Device Control Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap

Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr*, Courtney Heldreth, Susanna Ricco

Counting Distinct Elements Under Person-Level Differential Privacy Alexander Knop, Thomas Steinke

DICES Dataset: Diversity in Conversational AI Evaluation for Safety Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Does Progress on ImageNet Transfer to Real-world Datasets? Alex Fang, Simon Kornblith, Ludwig Schmidt

Estimating Generic 3D Room Structures from 2D Annotations Denys Rozumnyi*, Stefan Popov, Kevis-kokitsi Maninis, Matthias Nießner, Vittorio Ferrari

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat

Mechanic: A Learning Rate Tuner Ashok Cutkosky, Aaron Defazio, Harsh Mehta

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu*, Yuanzhen Li, Howard Zhou

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, James Lottes, Qing Wang, Yi-Fan Chen, John Roberts Anderson, Fei Sha

Restart Sampling for Improving Generative Processes Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko

RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick

Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi, Yangsibo Huang*, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett

Universality and Limitations of Prompt Tuning Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh

Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus Dave Uthus, Garrett Tanzer, Manfred Georg

The Noise Level in Linear Regression with Dependent Data Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni

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