LOCO: LOCAL CONTRASTIVE REPRESENTATION LEARNING (English)
- New search for: Xiong, Yuwen
- New search for: Ren, Mengye
- New search for: Urtasun, Raquel
- New search for: Xiong, Yuwen
- New search for: Ren, Mengye
- New search for: Urtasun, Raquel
In:
34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27
; 11142-11153
;
2021
- Conference paper / Print
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Title:LOCO: LOCAL CONTRASTIVE REPRESENTATION LEARNING
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Contributors:
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Conference:NeurIPS ; 34. ; 2020 ; Online
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Published in:
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Publisher:
- New search for: Curran Associates, Inc.
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Place of publication:Red Hook, NY
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Publication date:2021
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 10820
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UNSUPERVISED TEXT GENERATION BY LEARNING FROM SEARCHLi, Jingjing / Li, Zichao / Mou, Lili / Jiang, Xin / Lyu, Michael / King, Irwin et al. | 2021
- 10832
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LEARNING COMPOSITIONAL RULES VIA NEURAL PROGRAM SYNTHESISNye, Maxwell / Solar-Lezama, Armando / Tenenbaum, Josh / Lake, Brenden M. et al. | 2021
- 10843
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INCORPORATING BERT INTO PARALLEL SEQUENCE DECODING WITH ADAPTERSGuo, Junliang / Zhang, Zhirui / Xu, Linli / Wei, Hao-Ran / Chen, Boxing / Chen, Enhong et al. | 2021
- 10855
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ESTIMATING FLUCTUATIONS IN NEURAL REPRESENTATIONS OF UNCERTAIN ENVIRONMENTSFarhoodi, Sahand / Plitt, Mark / Giocomo, Lisa / Eden, Uri et al. | 2021
- 10869
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DISCOVER, HALLUCINATE, AND ADAPT: OPEN COMPOUND DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATIONPark, Kwanyong / Woo, Sanghyun / Shin, Inkyu / Kweon, In So et al. | 2021
- 10881
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SURF: A SIMPLE, UNIVERSAL, ROBUST, FAST DISTRIBUTION LEARNING ALGORITHMHao, Yi / Jain, Ayush / Orlitsky, Alon / Ravindrakumar, Vaishakh et al. | 2021
- 10891
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UNDERSTANDING APPROXIMATE FISHER INFORMATION FOR FAST CONVERGENCE OF NATURAL GRADIENT DESCENT IN WIDE NEURAL NETWORKSKarakida, Ryo / Osawa, Kazuki et al. | 2021
- 10902
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GENERAL TRANSPORTABILITY OF SOFT INTERVENTIONS: COMPLETENESS RESULTSCorrea, Juan / Bareinboim, Elias et al. | 2021
- 10913
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GAIT-PROP: A BIOLOGICALLY PLAUSIBLE LEARNING RULE DERIVED FROM BACKPROPAGATION OF ERRORAhmad, Nasir / Gerven, Marcel A. J. Van / Ambrogioni, Luca et al. | 2021
- 10924
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LIPSCHITZ BOUNDS AND PROVABLY ROBUST TRAINING BY LAPLACIAN SMOOTHINGKrishnan, Vishaal / Makdah, Abed Alrahman Al / Pasqualetti, Fabio et al. | 2021
- 10936
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SCOP: SCIENTIFIC CONTROL FOR RELIABLE NEURAL NETWORK PRUNINGTang, Yehui / Wang, Yunhe / Xu, Yixing / Tao, Dacheng / Xu, Chunjing / Xu, Chao / Xu, Chang et al. | 2021
- 10948
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PROVABLY CONSISTENT PARTIAL-LABEL LEARNINGFeng, Lei / Lv, Jiaqi / Han, Bo / Xu, Miao / Niu, Gang / Geng, Xin / An, Bo / Sugiyama, Masashi et al. | 2021
- 10961
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ROBUST, ACCURATE STOCHASTIC OPTIMIZATION FOR VARIATIONAL INFERENCEDhaka, Akash Kumar / Catalina, Alejandro / Andersen, Michael R. / Magnusson, Måns / Huggins, Jonathan / Vehtari, Aki et al. | 2021
- 10974
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DISCOVERING CONFLICTING GROUPS IN SIGNED NETWORKSTzeng, Ruo-Chun / Ordozgoiti, Bruno / Gionis, Aristides et al. | 2021
- 10986
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LEARNING SOME POPULAR GAUSSIAN GRAPHICAL MODELS WITHOUT CONDITION NUMBER BOUNDSKelner, Jonathan / Koehler, Frederic / Meka, Raghu / Moitra, Ankur et al. | 2021
- 10999
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SENSE AND SENSITIVITY ANALYSIS: SIMPLE POST-HOC ANALYSIS OF BIAS DUE TO UNOBSERVED CONFOUNDINGVeitch, Victor / Zaveri, Anisha et al. | 2021
- 11010
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MIX AND MATCH: AN OPTIMISTIC TREE-SEARCH APPROACH FOR LEARNING MODELS FROM MIXTURE DISTRIBUTIONSFaw, Matthew / Sen, Rajat / Shanmugam, Karthikeyan / Caramanis, Constantine / Shakkottai, Sanjay et al. | 2021
- 11022
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UNDERSTANDING DOUBLE DESCENT REQUIRES A FINE-GRAINED BIAS-VARIANCE DECOMPOSITIONAdlam, Ben / Pennington, Jeffrey et al. | 2021
- 11033
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VIME: EXTENDING THE SUCCESS OF SELF- AND SEMI-SUPERVISED LEARNING TO TABULAR DOMAINYoon, Jinsung / Zhang, Yao / Jordon, James / Schaar, Mihaela Van Der et al. | 2021
- 11044
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THE SMOOTHED POSSIBILITY OF SOCIAL CHOICEXia, Lirong et al. | 2021
- 11056
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A DECENTRALIZED PARALLEL ALGORITHM FOR TRAINING GENERATIVE ADVERSARIAL NETSLiu, Mingrui / Zhang, Wei / Mroueh, Youssef / Cui, Xiaodong / Ross, Jarret / Yang, Tianbao / Das, Payel et al. | 2021
- 11071
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PHASE RETRIEVAL IN HIGH DIMENSIONS: STATISTICAL AND COMPUTATIONAL PHASE TRANSITIONSMaillard, Antoine / Loureiro, Bruno / Krzakala, Florent / Zdeborová, Lenka et al. | 2021
- 11083
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FAIR PERFORMANCE METRIC ELICITATIONHiranandani, Gaurush / Narasimhan, Harikrishna / Koyejo, Sanmi et al. | 2021
- 11096
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HYBRID VARIANCE-REDUCED SGD ALGORITHMS FOR MINIMAX PROBLEMS WITH NONCONVEX-LINEAR FUNCTIONDinh, Quoc Tran / Liu, Deyi / Nguyen, Lam et al. | 2021
- 11108
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BELIEF-DEPENDENT MACRO-ACTION DISCOVERY IN POMDPS USING THE VALUE OF INFORMATIONFlaspohler, Genevieve / Roy, Nicholas A. / Fisher, John W. et al. | 2021
- 11119
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SOFT CONTRASTIVE LEARNING FOR VISUAL LOCALIZATIONThoma, Janine / Paudel, Danda Pani / Gool, Luc V. et al. | 2021
- 11131
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FINE-GRAINED DYNAMIC HEAD FOR OBJECT DETECTIONSong, Lin / Li, Yanwei / Jiang, Zhengkai / Li, Zeming / Sun, Hongbin / Sun, Jian / Zheng, Nanning et al. | 2021
- 11142
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LOCO: LOCAL CONTRASTIVE REPRESENTATION LEARNINGXiong, Yuwen / Ren, Mengye / Urtasun, Raquel et al. | 2021
- 11154
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MODELING AND OPTIMIZATION TRADE-OFF IN META-LEARNINGGao, Katelyn / Sener, Ozan et al. | 2021
- 11166
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SNAPBOOST: A HETEROGENEOUS BOOSTING MACHINEParnell, Thomas / Anghel, Andreea / Lazuka, Malgorzata / Ioannou, Nikolas / Kurella, Sebastian / Agarwal, Peshal / Papandreou, Nikolaos / Pozidis, Haralampos et al. | 2021
- 11178
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ON ADAPTIVE DISTANCE ESTIMATIONCherapanamjeri, Yeshwanth / Nelson, Jelani et al. | 2021
- 11191
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STAGE-WISE CONSERVATIVE LINEAR BANDITSMoradipari, Ahmadreza / Thrampoulidis, Christos / Alizadeh, Mahnoosh et al. | 2021
- 11202
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RELATE: PHYSICALLY PLAUSIBLE MULTI-OBJECT SCENE SYNTHESIS USING STRUCTURED LATENT SPACESEhrhardt, Sebastien / Groth, Oliver / Monszpart, Aron / Engelcke, Martin / Posner, Ingmar / Mitra, Niloy / Vedaldi, Andrea et al. | 2021
- 11214
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METRIC-FREE INDIVIDUAL FAIRNESS IN ONLINE LEARNINGBechavod, Yahav / Jung, Christopher / Wu, Steven Z. et al. | 2021
- 11226
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GREEDYFOOL: DISTORTION-AWARE SPARSE ADVERSARIAL ATTACKDong, Xiaoyi / Chen, Dongdong / Bao, Jianmin / Qin, Chuan / Yuan, Lu / Zhang, Weiming / Yu, Nenghai / Chen, Dong et al. | 2021
- 11237
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VAEM: A DEEP GENERATIVE MODEL FOR HETEROGENEOUS MIXED TYPE DATAMa, Chao / Tschiatschek, Sebastian / Turner, Richard / Hernández-Lobato, José Miguel / Zhang, Cheng et al. | 2021
- 11248
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RETROXPERT: DECOMPOSE RETROSYNTHESIS PREDICTION LIKE A CHEMISTYan, Chaochao / Ding, Qianggang / Zhao, Peilin / Zheng, Shuangjia / Yang, Jinyu / Yu, Yang / Huang, Junzhou et al. | 2021
- 11259
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SAMPLE-EFFICIENT OPTIMIZATION IN THE LATENT SPACE OF DEEP GENERATIVE MODELS VIA WEIGHTED RETRAININGTripp, Austin / Daxberger, Erik / Hernández-Lobato, José Miguel et al. | 2021
- 11285
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TINYTL: REDUCE MEMORY, NOT PARAMETERS FOR EFFICIENT ON-DEVICE LEARNINGCai, Han / Gan, Chuang / Zhu, Ligeng / Han, Song et al. | 2021
- 11298
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RD2: REWARD DECOMPOSITION WITH REPRESENTATION DECOMPOSITIONLin, Zichuan / Yang, Derek / Zhao, Li / Qin, Tao / Yang, Guangwen / Liu, Tie-Yan et al. | 2021
- 11309
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SELF-PACED CONTRASTIVE LEARNING WITH HYBRID MEMORY FOR DOMAIN ADAPTIVE OBJECT RE-IDGe, Yixiao / Zhu, Feng / Chen, Dapeng / Zhao, Rui / Li, Hongsheng et al. | 2021
- 11322
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FAIRNESS CONSTRAINTS CAN HELP EXACT INFERENCE IN STRUCTURED PREDICTIONBello, Kevin / Honorio, Jean et al. | 2021
- 11333
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INSTANCE-BASED GENERALIZATION IN REINFORCEMENT LEARNINGBertran, Martin / Martinez, Natalia / Phielipp, Mariano / Sapiro, Guillermo et al. | 2021
- 11345
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SMOOTH AND CONSISTENT PROBABILISTIC REGRESSION TREESAlkhoury, Sami / Devijver, Emilie / Clausel, Marianne / Tami, Myriam / Gaussier, Eric / Oppenheim, Georges et al. | 2021
- 11356
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COMPUTING VALID P-VALUE FOR OPTIMAL CHANGEPOINT BY SELECTIVE INFERENCE USING DYNAMIC PROGRAMMINGDuy, Vo Nguyen Le / Toda, Hiroki / Sugiyama, Ryota / Takeuchi, Ichiro et al. | 2021
- 11368
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FACTORIZED NEURAL PROCESSES FOR NEURAL PROCESSES: K-SHOT PREDICTION OF NEURAL RESPONSESCotton, Ronald / Sinz, Fabian / Tolias, Andreas et al. | 2021
- 11380
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WINNING THE LOTTERY WITH CONTINUOUS SPARSIFICATIONSavarese, Pedro / Silva, Hugo / Maire, Michael et al. | 2021
- 11391
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ADVERSARIAL ROBUSTNESS VIA ROBUST LOW RANK REPRESENTATIONSAwasthi, Pranjal / Jain, Himanshu / Rawat, Ankit Singh / Vijayaraghavan, Aravindan et al. | 2021
- 11404
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JOINTS IN RANDOM FORESTSCorreia, Alvaro / Peharz, Robert / Campos, Cassio P. De et al. | 2021
- 11416
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COMPOSITIONAL GENERALIZATION BY LEARNING ANALYTICAL EXPRESSIONSLiu, Qian / An, Shengnan / Lou, Jian-Guang / Chen, Bei / Lin, Zeqi / Gao, Yan / Zhou, Bin / Zheng, Nanning / Zhang, Dongmei et al. | 2021
- 11428
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JAX MD: A FRAMEWORK FOR DIFFERENTIABLE PHYSICSSchoenholz, Samuel / Cubuk, Ekin Dogus et al. | 2021
- 11442
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AN IMPLICIT FUNCTION LEARNING APPROACH FOR PARAMETRIC MODAL REGRESSIONPan, Yangchen / Imani, Ehsan / Farahmand, Amir-Massoud / White, Martha et al. | 2021
- 11453
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SDF-SRN: LEARNING SIGNED DISTANCE 3D OBJECT RECONSTRUCTION FROM STATIC IMAGESLin, Chen-Hsuan / Wang, Chaoyang / Lucey, Simon et al. | 2021
- 11465
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CORESETS FOR ROBUST TRAINING OF DEEP NEURAL NETWORKS AGAINST NOISY LABELSMirzasoleiman, Baharan / Cao, Kaidi / Leskovec, Jure et al. | 2021
- 11478
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ADAPTING TO MISSPECIFICATION IN CONTEXTUAL BANDITSFoster, Dylan J. / Gentile, Claudio / Mohri, Mehryar / Zimmert, Julian et al. | 2021
- 11490
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CONVERGENCE OF META-LEARNING WITH TASK-SPECIFIC ADAPTATION OVER PARTIAL PARAMETERSJi, Kaiyi / Lee, Jason D. / Liang, Yingbin / Poor, H. Vincent et al. | 2021
- 11501
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METAPERTURB: TRANSFERABLE REGULARIZER FOR HETEROGENEOUS TASKS AND ARCHITECTURESRyu, Jeong Un / Shin, Jaewoong / Lee, Hae Beom / Hwang, Sung Ju et al. | 2021
- 11513
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LEARNING TO SOLVE TV REGULARISED PROBLEMS WITH UNROLLED ALGORITHMSCherkaoui, Hamza / Sulam, Jeremias / Moreau, Thomas et al. | 2021
- 11525
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OBJECT-CENTRIC LEARNING WITH SLOT ATTENTIONLocatello, Francesco / Weissenborn, Dirk / Unterthiner, Thomas / Mahendran, Aravindh / Heigold, Georg / Uszkoreit, Jakob / Dosovitskiy, Alexey / Kipf, Thomas et al. | 2021
- 11539
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IMPROVING ROBUSTNESS AGAINST COMMON CORRUPTIONS BY COVARIATE SHIFT ADAPTATIONSchneider, Steffen / Rusak, Evgenia / Eck, Luisa / Bringmann, Oliver / Brendel, Wieland / Bethge, Matthias et al. | 2021
- 11552
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DEEP SMOOTHING OF THE IMPLIED VOLATILITY SURFACEAckerer, Damien / Tagasovska, Natasa / Vatter, Thibault et al. | 2021
- 11564
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PROBABILISTIC INFERENCE WITH ALGEBRAIC CONSTRAINTS: THEORETICAL LIMITS AND PRACTICAL APPROXIMATIONSZeng, Zhe / Morettin, Paolo / Yan, Fanqi / Vergari, Antonio / Broeck, Guy Van Den et al. | 2021
- 11576
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PROVABLE ONLINE CP/PARAFAC DECOMPOSITION OF A STRUCTURED TENSOR VIA DICTIONARY LEARNINGRambhatla, Sirisha / Li, Xingguo / Haupt, Jarvis et al. | 2021
- 11588
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LOOK-AHEAD META LEARNING FOR CONTINUAL LEARNINGGupta, Gunshi / Yadav, Karmesh / Paull, Liam et al. | 2021
- 11599
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A POLYNOMIAL-TIME ALGORITHM FOR LEARNING NONPARAMETRIC CAUSAL GRAPHSGao, Ming / Ding, Yi / Aragam, Bryon et al. | 2021
- 11612
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SPARSE LEARNING WITH CARTKlusowski, Jason et al. | 2021
- 11623
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PROXIMAL MAPPING FOR DEEP REGULARIZATIONLi, Mao / Ma, Yingyi / Zhang, Xinhua et al. | 2021
- 11637
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IDENTIFYING CAUSAL-EFFECT INFERENCE FAILURE WITH UNCERTAINTY-AWARE MODELSJesson, Andrew / Mindermann, Sören / Shalit, Uri / Gal, Yarin et al. | 2021
- 11650
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HIERARCHICAL GRANULARITY TRANSFER LEARNINGMin, Shaobo / Xie, Hongtao / Yao, Hantao / Deng, Xuran / Zha, Zheng-Jun / Zhang, Yongdong et al. | 2021
- 11662
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DEEP ACTIVE INFERENCE AGENTS USING MONTE-CARLO METHODSFountas, Zafeirios / Sajid, Noor / Mediano, Pedro / Friston, Karl et al. | 2021
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IMPROVED SAMPLE COMPLEXITY FOR INCREMENTAL AUTONOMOUS EXPLORATION IN MDPSTarbouriech, Jean / Pirotta, Matteo / Valko, Michal / Lazaric, Alessandro et al. | 2021