SACCADER: IMPROVING ACCURACY OF HARD ATTENTION MODELS FOR VISION (Englisch)
- Neue Suche nach: Elsayed, Gamaleldin
- Neue Suche nach: Kornblith, Simon
- Neue Suche nach: Le, Quoc V.
- Neue Suche nach: Elsayed, Gamaleldin
- Neue Suche nach: Kornblith, Simon
- Neue Suche nach: Le, Quoc V.
In:
32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20
; 702-714
;
2020
- Aufsatz (Konferenz) / Print
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Titel:SACCADER: IMPROVING ACCURACY OF HARD ATTENTION MODELS FOR VISION
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Beteiligte:
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Kongress:NeurIPS ; 33. ; 2019 ; Vancouver, British Columbia
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Erschienen in:
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Verlag:
- Neue Suche nach: Curran Associates, Inc.
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Erscheinungsort:Red Hook, NY
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Erscheinungsdatum:2020
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Datenquelle:
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
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MULTIMODAL MODEL-AGNOSTIC META-LEARNING VIA TASK-AWARE MODULATIONVuorio, Risto / Sun, Shao-Hua / Hu, Hexiang / Lim, Joseph J. et al. | 2020
- 13
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VILBERT: PRETRAINING TASK-AGNOSTIC VISIOLINGUISTIC REPRESENTATIONS FOR VISION-AND-LANGUAGE TASKSLu, Jiasen / Batra, Dhruv / Parikh, Devi / Lee, Stefan et al. | 2020
- 24
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STOCHASTIC SHARED EMBEDDINGS: DATA-DRIVEN REGULARIZATION OF EMBEDDING LAYERSWu, Liwei / Li, Shuging / Hsieh, Cho-Jui / Sharpnack, James L. et al. | 2020
- 35
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UNSUPERVISED SCALE-CONSISTENT DEPTH AND EGO-MOTION LEARNING FROM MONOCULAR VIDEOBian, Jiawang / Li, Zhichao / Wang, Naiyan / Zhan, Huangying / Shen, Chunhua / Cheng, Ming-Ming / Reid, Ian et al. | 2020
- 46
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ZERO-SHOT LEARNING VIA SIMULTANEOUS GENERATING AND LEARNINGYu, Hyeonwoo / Le, Beomhee et al. | 2020
- 57
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ASK NOT WHAT AI CAN DO, BUT WHAT AI SHOULD DO: TOWARDS A FRAMEWORK OF TASK DELEGABILITYLubars, Brian / Tan, Chenhao et al. | 2020
- 68
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STAND-ALONE SELF-ATTENTION IN VISION MODELSParmar, Niki / Ramachandran, Prajit / Vaswani, Ashish / Bello, Irwan / Levskaya, Anselm / Shlens, Jon et al. | 2020
- 81
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HIGH FIDELITY VIDEO PREDICTION WITH LARGE STOCHASTIC RECURRENT NEURAL NETWORKSVillegas, Ruben / Pathak, Arkanath / Kannan, Harini / Erhan, Dumitru / Le, Quoc V. / Lee, Honglak et al. | 2020
- 92
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UNSUPERVISED LEARNING OF OBJECT STRUCTURE AND DYNAMICS FROM VIDEOSMinderer, Matthias / Sun, Chen / Villegas, Ruben / Cole, Forrester / Murphy, Kevin P. / Lee, Honglak et al. | 2020
- 103
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GPIPE: EFFICIENT TRAINING OF GIANT NEURAL NETWORKS USING PIPELINE PARALLELISMHuang, Yanping / Cheng, Youlong / Bapna, Ankur / Firat, Orhan / Chen, Dehao / Chen, Mia / Lee, Hyoukioong / Ngiam, Jiquan / Le, Quoc V. / Wu, Yonghui et al. | 2020
- 113
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META-LEARNING WITH IMPLICIT GRADIENTSRajeswaran, Aravind / Finn, Chelsea / Kakade, Sham M. / Levine, Sergey et al. | 2020
- 125
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ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURESIlyas, Andrew / Santurkar, Shibani / Tsipras, Dimitris / Engstrom, Logan / Tran, Brandon / Madry, Aleksander et al. | 2020
- 137
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SOCIAL-BIGAT: MULTIMODAL TRAJECTORY FORECASTING USING BICYCLE-GAN AND GRAPH ATTENTION NETWORKSKosaraju, Vineet / Sadeghian, Amir / Martin-Martin, Roberto / Reid, Ian / Rezatofighi, Hamid / Savarese, Silvio et al. | 2020
- 147
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FREEANCHOR: LEARNING TO MATCH ANCHORS FOR VISUAL OBJECT DETECTIONZhang, Xiaosong / Wan, Fang / Liu, Chang / Ji, Rongrong / Ye, Qixiang et al. | 2020
- 156
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PRIVATE HYPOTHESIS SELECTIONBun, Mark / Kamath, Gautam / Steinke, Thomas / Wu, Steven Z. et al. | 2020
- 168
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DIFFERENTIALLY PRIVATE ALGORITHMS FOR LEARNING MIXTURES OF SEPARATED GAUSSIANSKamath, Gautam / Sheffet, Or / Singhal, Vikrant / Ullman, Jonathan et al. | 2020
- 181
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AVERAGE-CASE AVERAGES: PRIVATE ALGORITHMS FOR SMOOTH SENSITIVITY AND MEAN ESTIMATIONBun, Mark / Steinke, Thomas et al. | 2020
- 192
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MULTI-RESOLUTION WEAK SUPERVISION FOR SEQUENTIAL DATAVarma, Paroma / Sala, Frederic / Sagawa, Shiori / Fries, Jason / Khattar, Daniel Fu. Saelig / Ramamoorthy, Ashwini / Xiao, Ke / Fatahalian, Kayvon / Priest, James / Ré, Christopher et al. | 2020
- 204
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DEEPUSPS: DEEP ROBUST UNSUPERVISED SALIENCY PREDICTION VIA SELF-SUPERVISIONNguyen, Tam / Dax, Maximilian / Mummadi, Chaithanya Kumar / Ngo, Nhung / Nguyen, Thi Hoai Phuong / Lou, Zhongyu / Brox, Thomas et al. | 2020
- 215
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THE POINT WHERE REALITY MEETS FANTASY: MIXED ADVERSARIAL GENERATORS FOR IMAGE SPLICE DETECTIONKniaz, Vladimir V. / Knyaz, Vladimir / Remondino, Fabio et al. | 2020
- 227
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YOU ONLY PROPAGATE ONCE: ACCELERATING ADVERSARIAL TRAINING VIA MAXIMAL PRINCIPLEZhang, Dinghuai / Zhang, Tianyuan / Lu, Yiping / Zhu, Zhanxing / Dong, Bin et al. | 2020
- 239
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IMITATION LEARNING FROM OBSERVATIONS BY MINIMIZING INVERSE DYNAMICS DISAGREEMENTYang, Chao / Ma, Xiaojian / Huang, Wenbing / Sun, Fuchun / Liu, Huaping / Huang, Junzhou / Gan, Chuang et al. | 2020
- 250
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ASYMPTOTIC GUARANTEES FOR LEARNING GENERATIVE MODELS WITH THE SLICED - WASSERSTEIN DISTANCENadjahi, Kimia / Durmus, Alain / Simsekli, Umut / Badeau, Roland et al. | 2020
- 261
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GENERALIZED SLICED WASSERSTEIN DISTANCESKolouri, Soheil / Nadjahi, Kimia / Simsekli, Umut / Badeau, Roland / Rohde, Gustavo et al. | 2020
- 273
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FIRST EXIT TIME ANALYSIS OF STOCHASTIC GRADIENT DESCENT UNDER HEAVY-TAILED GRADIENT NOISENguyen, Thanh Huy / Simsekli, Umut / Gurbuzbalaban, Mert / Richard, Gaēl et al. | 2020
- 284
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BLIND SUPER-RESOLUTION KERNEL ESTIMATION USING AN INTERNAL-GANBell-Kligler, Sefi / Shocher, Assaf / Irani, Michal et al. | 2020
- 294
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NOISE-TOLERANT FAIR CLASSIFICATIONLamy, Alex / Zhong, Ziyuan / Menon, Aditya K. / Verma, Nakul et al. | 2020
- 307
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GENERALIZATION IN GENERATIVE ADVERSARIAL NETWORKS: A NOVEL PERSPECTIVE FROM PRIVACY PROTECTIONWu, Bingzhe / Zhao, Shiwan / Chen, Chaochao / Xu, Haoyang / Wang, Li / Zhang, Xiaolu / Sun, Guangyu / Zhou, Jun et al. | 2020
- 318
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JOINT-TASK SELF-SUPERVISED LEARNING FOR TEMPORAL CORRESPONDENCELi, Xueting / Liu, Sifei / Mello, Shalini De / Wang, Xiaolong / Kautz, Jan / Yang, Ming-Hsuan et al. | 2020
- 329
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PROVABLE GRADIENT VARIANCE GUARANTEES FOR BLACK-BOX VARIATIONAL INFERENCEDomke, Justin et al. | 2020
- 339
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DIVIDE AND COUPLE: USING MONTE CARLO VARIATIONAL OBJECTIVES FOR POSTERIOR APPROXIMATIONDomke, Justin / Sheldon, Daniel R. et al. | 2020
- 350
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EXPERIENCE REPLAY FOR CONTINUAL LEARNINGRolnick, David / Ahuja, Arun / Schwarz, Jonathan / Lillicrap, Timothy / Wayne, Gregory et al. | 2020
- 361
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DEEP RELU NETWORKS HAVE SURPRISINGLY FEW ACTIVATION PATTERNSHanin, Boris / Rolnick, David et al. | 2020
- 371
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CHASING GHOSTS: INSTRUCTION FOLLOWING AS BAYESIAN STATE TRACKINGAnderson, Peter / Shrivastava, Ayush / Parikh, Devi / Batra, Dhruv / Lee, Stefan et al. | 2020
- 382
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BLOCK COORDINATE REGULARIZATION BY DENOISINGSun, Yu / Liu, Jiaming / Kamilov, Ulugbek et al. | 2020
- 393
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REDUCING NOISE IN GAN TRAINING WITH VARIANCE REDUCED EXTRAGRADIENTChavdarova, Tatjana / Gidel, Gauthier / Fleuret, Francois / Lacoste-Julien, Simon et al. | 2020
- 404
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LEARNING ERDOS-RENYI RANDOM GRAPHS VIA EDGE DETECTING QUERIESLi, Zihan / Fresacher, Matthias / Scarlett, Jonathan et al. | 2020
- 415
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A PRIMAL-DUAL LINK BETWEEN GANS AND AUTOENCODERSHusain, Hisham / Nock, Richard / Williamson, Robert C. et al. | 2020
- 425
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MUSSP: EFFICIENT MIN-COST FLOW ALGORITHM FOR MULTI-OBJECT TRACKINGWang, Congchao / Wang, Yizhi / Wang, Yinxue / Wu, Chiung-Ting / Yu, Guoqiang et al. | 2020
- 435
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CATEGORY ANCHOR-GUIDED UNSUPERVISED DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATIONZhang, Qiming / Zhong, Jing / Liu, Wei / Tao, Dacheng et al. | 2020
- 446
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INVERT TO LEARN TO INVERTPutzky, Patrick / Welling, Max et al. | 2020
- 457
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EQUITABLE STABLE MATCHINGS IN QUADRATIC TIMETziavelis, Nikolaos / Giannakopoulos, Ioannis / Doka, Katerina / Koziris, Nectarios / Karras, Panagiotis et al. | 2020
- 468
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ZERO-SHOT SEMANTIC SEGMENTATIONBucher, Maxime / Vu, Tuan-Hung / Cord, Matthieu / Pérez, Patrick et al. | 2020
- 480
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METRIC LEARNING FOR ADVERSARIAL ROBUSTNESSMao, Chengzhi / Zhong, Ziyuan / Yang, Junfeng / Vondrick, Carl / Ray, Baishakhi et al. | 2020
- 492
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DISN: DEEP IMPLICIT SURFACE NETWORK FOR HIGH-QUALITY SINGLE-VIEW 3D RECONSTRUCTIONXu, Qiangeng / Wang, Weiyue / Ceylan, Duygu / Mech, Radomir / Neumann, Ulrich et al. | 2020
- 503
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BATCHED MULTI-ARMED BANDITS PROBLEMGao, Zijun / Han, Yanjun / Ren, Zhimei / Zhou, Zhengqing et al. | 2020
- 514
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VGRAPH: A GENERATIVE MODEL FOR JOINT COMMUNITY DETECTION AND NODE REPRESENTATION LEARNINGSun, Fan-Yun / Qu, Meng / Hoffmann, Jordan / Huang, Chin-Wei / Tang, Jian et al. | 2020
- 525
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DIFFERENTIALLY PRIVATE BAYESIAN LINEAR REGRESSIONBernstein, Garrett / Sheldon, Daniel R. et al. | 2020
- 536
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SEMANTIC CONDITIONED DYNAMIC MODULATION FOR TEMPORAL SENTENCE GROUNDING IN VIDEOSYuan, Yitian / Ma, Lin / Wang, Jingwen / Liu, Wei / Zhu, Wenwu et al. | 2020
- 547
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AGEM: SOLVING LINEAR INVERSE PROBLEMS VIA DEEP PRIORS AND SAMPLINGGuo, Bichuan / Han, Yuxing / Wen, Jiangtao et al. | 2020
- 559
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CPM-NETS: CROSS PARTIAL MULTI-VIEW NETWORKSZhang, Changqing / Han, Zongbo / Cui, Yajie / Fu, Huazhu / Zhou, Joey Tianyi / Hu, Qinghua et al. | 2020
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LEARNING TO PREDICT LAYOUT-TO-IMAGE CONDITIONAL CONVOLUTIONS FOR SEMANTIC IMAGE SYNTHESISLiu, Xihui / Yin, Guojun / Shao, Jing / Wang, Xiaogang / Li, Hongsheng et al. | 2020
- 581
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STAYING UP TO DATE WITH ONLINE CONTENT CHANGES USING REINFORCEMENT LEARNING FOR SCHEDULINGKolobov, Andrey / Peres, Yuval / Lu, Cheng / Horvitz, Eric J. et al. | 2020
- 592
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SYSCD: A SYSTEM-AWARE PARALLEL COORDINATE DESCENT ALGORITHMIoannou, Nikolas / Mendler-Dünner, Celestine / Parnell, Thomas et al. | 2020
- 603
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IMPORTANCE WEIGHTED HIERARCHICAL VARIATIONAL INFERENCESobolev, Artem / Vetrov, Dmitry P. et al. | 2020
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RSN: RANDOMIZED SUBSPACE NEWTONRichtarik, Robert Gower. Dmitrv Koralev. Felix Lieder. Peter et al. | 2020
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TRUST REGION-GUIDED PROXIMAL POLICY OPTIMIZATIONWang, Yuhui / He, Hao / Tan, Xiaoyang / Gan, Yaozhong et al. | 2020
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ADVERSARIAL SELF-DEFENSE FOR CYCLE-CONSISTENT GANSBashkirova, Dina / Usman, Ben / Saenko, Kate et al. | 2020
- 648
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- 659
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UNIFORM ERROR BOUNDS FOR GAUSSIAN PROCESS REGRESSION WITH APPLICATION TO SAFE CONTROLLederer, Armin / Umlauft, Jonas / Hirche, Sandra et al. | 2020
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ETNET: ERROR TRANSITION NETWORK FOR ARBITRARY STYLE TRANSFERSong, Chunjin / Wu, Zhijie / Zhou, Yang / Gong, Minglun / Huang, Hui et al. | 2020
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NO PRESSURE! ADDRESSING THE PROBLEM OF LOCAL MINIMA IN MANIFOLD LEARNING ALGORYTHMSVladymyrov, Max et al. | 2020
- 690
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DEEP EQUILIBRIUM MODELSBai, Shaojie / Kolter, J. Zico / Koltun, Vladlen et al. | 2020
- 702
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SACCADER: IMPROVING ACCURACY OF HARD ATTENTION MODELS FOR VISIONElsayed, Gamaleldin / Kornblith, Simon / Le, Quoc V. et al. | 2020
- 715
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MULTIWAY CLUSTERING VIA TENSOR BLOCK MODELSWang, Miaoyan / Zeng, Yuchen et al. | 2020
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REGRET MINIMIZATION FOR REINFORCEMENT LEARNING WITH VECTORIAL FEEDBACK AND COMPLEX OBJECTIVESCheung, Wang Chi et al. | 2020
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NAT: NEURAL ARCHITECTURE TRANSFORMER FOR ACCURATE AND COMPACT ARCHITECTURESGuo, Yong / Zheng, Yin / Tan, Mingkui / Chen, Qi / Chen, Jian / Zhao, Peilin / Huang, Junzhou et al. | 2020
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SELECTING OPTIMAL DECISIONS VIA DISTRIBUTIONALLY ROBUST NEAREST-NEIGHBOR REGRESSIONChen, Ruidi / Paschalidis, Ioannis et al. | 2020
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NETWORK PRUNING VIA TRANSFORMABLE ARCHITECTURE SEARCHDong, Xuanyi / Yang, Yi et al. | 2020
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DIFFERENTIABLE CLOTH SIMULATION FOR INVERSE PROBLEMSLiang, Junbang / Lin, Ming / Koltun, Vladlen et al. | 2020
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POISSON-RANDOMIZED GAMMA DYNAMICAL SYSTEMSSchein, Aaron / Linderman, Scott / Zhou, Mingyuan / Blei, David / Wallach, Hanna et al. | 2020