GANSPACE: DISCOVERING INTERPRETABLE GAN CONTROLS (English)
- New search for: Härkönen, Erik
- New search for: Hertzmann, Aaron
- New search for: Lehtinen, Jaakko
- New search for: Paris, Sylvain
- New search for: Härkönen, Erik
- New search for: Hertzmann, Aaron
- New search for: Lehtinen, Jaakko
- New search for: Paris, Sylvain
In:
34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27
; 9841-9850
;
2021
- Conference paper / Print
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Title:GANSPACE: DISCOVERING INTERPRETABLE GAN CONTROLS
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Contributors:Härkönen, Erik ( author ) / Hertzmann, Aaron ( author ) / Lehtinen, Jaakko ( author ) / Paris, Sylvain ( author )
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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.
- 9135
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MYERSONIAN REGRESSIONLiu, Allen / Leme, Renato / Schneider, Jon et al. | 2021
- 9145
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LEARNABILITY WITH INDIRECT SUPERVISION SIGNALSWang, Kaifu / Ning, Qiang / Roth, Dan et al. | 2021
- 9156
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TOWARDS SAFE POLICY IMPROVEMENT FOR NON-STATIONARY MDPSChandak, Yash / Jordan, Scott / Theocharous, Georgios / White, Martha / Thomas, Philip S. et al. | 2021
- 9169
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FINER METAGENOMIC RECONSTRUCTION VIA BIODIVERSITY OPTIMIZATIONFoucart, Simon / Koslicki, David et al. | 2021
- 9180
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CAUSAL DISCOVERY IN PHYSICAL SYSTEMS FROM VIDEOSLi, Yunzhu / Torralba, Antonio / Anandkumar, Anima / Fox, Dieter / Garg, Animesh et al. | 2021
- 9193
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GLYPH: FAST AND ACCURATELY TRAINING DEEP NEURAL NETWORKS ON ENCRYPTED DATALou, Qian / Feng, Bo / Fox, Geoffrey Charles / Jiang, Lei et al. | 2021
- 9203
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SMOOTHED ANALYSIS OF ONLINE AND DIFFERENTIALLY PRIVATE LEARNINGHaghtalab, Nika / Roughgarden, Tim / Shetty, Abhishek et al. | 2021
- 9216
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SELF-PACED DEEP REINFORCEMENT LEARNINGKlink, Pascal / D'Eramo, Carlo / Peters, Jan R. / Pajarinen, Joni et al. | 2021
- 9228
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KALMAN FILTERING ATTENTION FOR USER BEHA VIOR MODELING IN CTR PREDICTIONLiu, Hu / Lu, Jing / Zhao, Xiwei / Xu, Sulong / Peng, Hao / Liu, Yutong / Zhang, Zehua / Li, Jian / Jin, Junsheng / Bao, Yongjun et al. | 2021
- 9239
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TOWARDS MAXIMIZING THE REPRESENTATION GAP BETWEEN IN-DOMAIN & OUT-OF-DISTRIBUTION EXAMPLESNandy, Jay / Hsu, Wynne / Lee, Mong Li et al. | 2021
- 9251
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FULLY CONVOLUTIONAL MESH AUTOENCODER USING EFFICIENT SPATIALLY VARYING KERNELSZhou, Yi / Wu, Chenglei / Li, Zimo / Cao, Chen / Ye, Yuting / Saragih, Jason / Li, Hao / Sheikh, Yaser et al. | 2021
- 9263
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GNNGUARD: DEFENDING GRAPH NEURAL NETWORKS AGAINST ADVERSARIAL ATTACKSZhang, Xiang / Zitnik, Marinka et al. | 2021
- 9276
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GEO-PIFU: GEOMETRY AND PIXEL ALIGNED IMPLICIT FUNCTIONS FOR SINGLE-VIEW HUMAN RECONSTRUCTIONHe, Tong / Collomosse, John / Jin, Hailin / Soatto, Stefano et al. | 2021
- 9288
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OPTIMAL VISUAL SEARCH BASED ON A MODEL OF TARGET DETECTABILITY IN NATURAL IMAGESRashidi, Shima / Ehinger, Krista / Turpin, Andrew / Kulik, Lars et al. | 2021
- 9300
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TOWARDS CONVERGENCE RATE ANALYSIS OF RANDOM FORESTS FOR CLASSIFICATIONGao, Wei / Zhou, Zhi-Hua et al. | 2021
- 9312
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LIST-DECODABLE MEAN ESTIMATION VIA ITERATIVE MULTI-FILTERINGDiakonikolas, Hlias / Kane, Daniel / Kongsgaard, Daniel et al. | 2021
- 9324
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EXACT RECOVERY OF MANGLED CLUSTERS WITH SAME-CLUSTER QUERIESBressan, Marco / Cesa-Bianchi, Nicolò / Lattanzi, Silvio / Paudice, Andrea et al. | 2021
- 9335
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STEADY STATE ANALYSIS OF EPISODIC REINFORCEMENT LEARNINGBojun, Huang et al. | 2021
- 9346
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DIRECT FEEDBACK ALIGNMENT SCALES TO MODERN DEEP LEARNING TASKS AND ARCHITECTURESLaunay, Julien / Poli, Iacopo / Boniface, Francois / Krzakala, Florent et al. | 2021
- 9361
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BAYESIAN OPTIMIZA TION FOR ITERATIVE LEARNINGNguyen, Vu / Schulze, Sebastian / Osborne, Michael et al. | 2021
- 9372
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MINIMAX BOUNDS FOR GENERALIZED LINEAR MODELSLee, Kuan-Yun / Courtade, Thomas et al. | 2021
- 9383
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PROJECTION ROBUST WASSERSTEIN DISTANCE AND RIEMANNIAN OPTIMIZATIONLin, Tianyi / Fan, Chenyou / Ho, Nhat / Cuturi, Marco / Jordan, Michael et al. | 2021
- 9398
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COINDICE: OFF-POLICY CONFIDENCE INTERVAL ESTIMATIONDai, Bo / Nachum, Ofir / Chow, Yinlam / Li, Lihong / Szepesvari, Csaba / Schuurmans, Dale et al. | 2021
- 9412
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SIMPLE AND FAST ALGORITHM FOR BINARY INTEGER AND ONLINE LINEAR PROGRAMMINGLi, Xiaocheng / Sun, Chunlin / Ye, Yinyu et al. | 2021
- 9422
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LEARNING DIVERSE AND DISCRIMINATIVE REPRESENTATIONS VIA THE PRINCIPLE OF MAXIMAL CODING RATE REDUCTIONYu, Yaodong / Chan, Kwan Ho Ryan / You, Chong / Song, Chaobing / Ma, Yi et al. | 2021
- 9435
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LEARNING RICH RANKINGSSeshadri, Arjun / Ragain, Stephen / Ugander, Johan et al. | 2021
- 9447
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COLOR VISUAL ILLUSIONS: A STATISTICS-BASED COMPUTATIONAL MODELHirsch, Elad / Tal, Ayellet et al. | 2021
- 9459
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RETRIEVAL-AUGMENTED GENERATION FOR KNOWLEDGE-INTENSIVE NLP TASKSLewis, Patrick / Perez, Ethan / Piktus, Aleksandra / Petroni, Fabio / Karpukhin, Vladimir / Goyal, Naman / Küttler, Heinrich / Lewis, Mike / Yih, Wen-Tau / Rocktäschel, Tim et al. | 2021
- 9475
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UNIVERSAL GUARANTEES FOR DECISION TREE INDUCTION VIA A HIGHER-ORDER SPLITTING CRITERIONBlanc, Guy / Gupta, Neha / Lange, Jane / Tan, Li-Yang et al. | 2021
- 9485
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TRADE-OFFS AND GUARANTEES OF ADVERSARIAL REPRESENTA TION LEARNING FOR INFORMATION OBFUSCATIONZhao, Han / Chi, Jianfeng / Tian, Yuan / Gordon, Geoffrey J. et al. | 2021
- 9497
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A BOOLEAN TASK ALGEBRA FOR REINFORCEMENT LEARNINGTasse, Geraud Nangue / James, Steven / Rosman, Benjamin et al. | 2021
- 9508
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LEARNING WITH DIFFERENTIABLE PERTUBED OPTIMIZERSBerthet, Quentin / Blondel, Mathieu / Teboul, Olivier / Cuturi, Marco / Vert, Jean-Philippe / Bach, Francis et al. | 2021
- 9520
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OPTIMAL LEARNING FROM VERIFIED TRAINING DATABishop, Nicholas / Tran-Thanh, Long / Gerding, Enrico et al. | 2021
- 9530
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ONLINE LINEAR OPTIMIZATION WITH MANY HINTSBhaskara, Aditya / Cutkosky, Ashok / Kumar, Ravi / Purohit, Manish et al. | 2021
- 9540
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DYNAMICAL MEAN-FIELD THEORY FOR STOCHASTIC GRADIENT DESCENT IN GAUSSIAN MIXTURE CLASSIFICATIONMignacco, Francesca / Krzakala, Florent / Urbani, Pierfrancesco / Zdeborová, Lenka et al. | 2021
- 9551
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CAUSAL DISCOVERY FROM SOFT INTERVENTIONS WITH UNKNOWN TARGETS: CHARACTERIZATION AND LEARNINGJaber, Amin / Kocaoglu, Murat / Shanmugam, Karthikeyan / Bareinboim, Elias et al. | 2021
- 9562
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EXPLOITING THE SURROGATE GAP IN ONLINE MULTICLASS CLASSIFICATIONHoeven, Dirk Van Der et al. | 2021
- 9573
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THE PITFALLS OF SIMPLICITY BIAS IN NEURAL NETWORKSShah, Harshay / Tamuly, Kaustav / Raghunathan, Aditi / Jain, Prateek / Netrapalli, Praneeth et al. | 2021
- 9586
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AUTOMATICALLY LEARNING COMPACT QUALITY-AWARE SURROGATES FOR OPTIMIZATION PROBLEMSWang, Kai / Wilder, Bryan / Perrault, Andrew / Tambe, Milind et al. | 2021
- 9597
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EMPIRICAL LIKELIHOOD FOR CONTEXTUAL BANDITSKarampatziakis, Nikos / Langford, John / Mineiro, Paul et al. | 2021
- 9608
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CAN Q-LEARNING WITH GRAPH NETWORKS LEARN A GENERALIZABLE BRANCHING HEURISTIC FOR A SAT SOLVER?Kurin, Vitaly / Godil, Saad / Whiteson, Shimon / Catanzaro, Bryan et al. | 2021
- 9622
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NON-REVERSIBLE GAUSSIAN PROCESSES FOR IDENTIFYING LATENT DYNAMICAL STRUCTURE IN NEURAL DATARutten, Virginia / Bernacchia, Alberto / Sahani, Maneesh / Hennequin, Guillaume et al. | 2021
- 9633
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LISTENING TO SOUNDS OF SILENCE FOR SPEECH DENOISINGXu, Ruilin / Wu, Rundi / Ishiwaka, Yuko / Vondrick, Carl / Zheng, Changxi et al. | 2021
- 9649
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BOXE: A BOX EMBEDDING MODEL FOR KNOWLEDGE BASE COMPLETIONAbboud, Ralph / Ceylan, Ismail / Lukasiewicz, Thomas / Salvatori, Tommaso et al. | 2021
- 9662
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COHERENT HIERARCHICAL MULTI-LABEL CLASSIFICATION NETWORKSGiunchiglia, Eleonora / Lukasiewicz, Thomas et al. | 2021
- 9674
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WALSH-HADAMARD VARIATIONAL INFERENCE FOR BAYESIAN DEEP LEARNINGRossi, Simone / Marmin, Sebastien / Filippone, Maurizio et al. | 2021
- 9687
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FEDERATED BAYESIAN OPTIMIZATION VIA THOMPSON SAMPLINGDai, Zhongxiang / Low, Bryan Kian Hsiang / Jaillet, Patrick et al. | 2021
- 9700
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MULTION: BENCHMARKING SEMANTIC MAP MEMORY USING MULTI-OBJECT NAVIGATIONWani, Saim / Patel, Shivansh / Jain, Unnat / Chang, Angel / Savva, Manolis et al. | 2021
- 9713
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NEURAL COMPLEXITY MEASURESLee, Yoonho / Lee, Juho / Hwang, Sung Ju / Yang, Eunho / Choi, Seungjin et al. | 2021
- 9725
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OPTIMAL ITERATIVE SKETCHING METHODS WITH THE SUBSAMPLED RANDOMIZED HADAMARD TRANSFORMLacotte, Jonathan / Liu, Sifan / Dobriban, Edgar / Pilanci, Mert et al. | 2021
- 9736
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PROVABLY ADAPTIVE REINFORCEMENT LEARNING IN METRIC SPACESCao, Tongyi / Krishnamurthy, Akshay et al. | 2021
- 9745
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SHAPEFLOW: LEARNABLE DEFORMATION FLOWS AMONG 3D SHAPESJiang, Chiyu / Huang, Jingwei / Tagliasacchi, Andrea / Guibas, Leonidas J. et al. | 2021
- 9758
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SELF-SUPERVISED LEARNING BY CROSS-MODAL AUDIO-VIDEO CLUSTERINGAlwassel, Humam / Mahajan, Dhruv / Korbar, Bruno / Torresani, Lorenzo / Ghanem, Bernard / Tran, Du et al. | 2021
- 9771
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OPTIMAL QUERY COMPLEXITY OF SECURE STOCHASTIC CONVEX OPTIMIZATIONTang, Wei / Ho, Chien-Ju / Liu, Yang et al. | 2021
- 9782
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DYNABERT: DYNAMIC BERT WITH ADAPTIVE WIDTH AND DEPTHHou, Lu / Huang, Zhiqi / Shang, Lifeng / Jiang, Xin / Chen, Xiao / Liu, Qun et al. | 2021
- 9794
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GENERALIZATION BOUND OF GRADIENT DESCENT FOR NON-CONVEX METRIC LEARNINGDong, Mingzhi / Yang, Xiaochen / Zhu, Rui / Wang, Yujiang / Xue, Jing-Hao et al. | 2021
- 9806
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DYNAMIC SUBMODULAR MAXIMIZATIONMonemizadeh, Morteza et al. | 2021
- 9818
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INFERENCE FOR BATCHED BANDITSZhang, Kelly / Janson, Lucas / Murphy, Susan et al. | 2021
- 9830
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APPROXIMATE CROSS-VALIDATION WITH LOW-RANK DATA IN HIGH DIMENSIONSStephenson, Will / Udell, Madeleine / Broderick, Tamara et al. | 2021
- 9841
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GANSPACE: DISCOVERING INTERPRETABLE GAN CONTROLSHärkönen, Erik / Hertzmann, Aaron / Lehtinen, Jaakko / Paris, Sylvain et al. | 2021
- 9851
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DIFFERENTIABLE EXPECTED HYPERVOLUME IMPROVEMENT FOR PARALLEL MULTI-OBJECTIVE BAYESIAN OPTIMIZATIONDaulton, Samuel / Balandat, Maximilian / Bakshy, Eytan et al. | 2021
- 9865
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NEURON-LEVEL STRUCTURED PRUNING USING POLARIZA TION REGULARIZERZhuang, Tao / Zhang, Zhixuan / Huang, Yuheng / Zeng, Xiaoyi / Shuang, Kai / Li, Xiang et al. | 2021
- 9878
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LIMITS ON TESTING STRUCTURAL CHANGES IN ISING MODELSGangrade, Aditya / Nazer, Bobak / Saligrama, Venkatesh et al. | 2021
- 9890
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FIELD-WISE LEARNING FOR MULTI-FIELD CATEGORICAL DATALi, Zhibin / Zhang, Jian / Gong, Yongshun / Yao, Yazhou / Wu, Oiang et al. | 2021
- 9900
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CONTINUAL LEARNING IN LOW-RANK ORTHOGONAL SUBSPACESChaudhry, Arslan / Khan, Naeemullah / Dokania, Puneet / Torr, Philip et al. | 2021
- 9912
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UNSUPERVISED LEARNING OF VISUAL FEATURES BY CONTRASTING CLUSTER ASSIGNMENTSCaron, Mathilde / Misra, Ishan / Mairal, Julien / Goyal, Priya / Bojanowski, Piotr / Joulin, Armand et al. | 2021
- 9925
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SHARPENED GENERALIZATION BOUNDS BASED ON CONDITIONAL MUTUAL INFORMATION AND AN APPLICATION TO NOISY, ITERATIVE ALGORITHMSHaghifam, Mahdi / Negrea, Jeffrey / Khisti, Ashish / Roy, Daniel M. / Dziugaite, Gintare Karolina et al. | 2021
- 9936
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LEARNING DEFORMABLE TETRAHEDRAL MESHES FOR 3D RECONSTRUCTIONGao, Jun / Chen, Wenzheng / Xiang, Tommy / Jacobson, Alec / McGuire, Morgan / Fidler, Sanja et al. | 2021
- 9948
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INFORMATION THEORETIC LIMITS OF LEARNING A SPARSE RULELuneau, Clement / Barbier, Jean / Macris, Nicolas et al. | 2021
- 9960
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SELF-SUPERVISED LEARNING THROUGH THE EYES OF A CHILDOrhan, Emin / Gupta, Vaibhav / Lake, Brenden M. et al. | 2021