HIGH-QUALITY SELF-SUPERVISED DEEP IMAGE DENOISING (English)
- New search for: Laine, Samuli
- New search for: Karras, Tero
- New search for: Lehtinen, Jaakko
- New search for: Aila, Timo
- New search for: Laine, Samuli
- New search for: Karras, Tero
- New search for: Lehtinen, Jaakko
- New search for: Aila, Timo
In:
32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20
; 6938-6948
;
2020
- Conference paper / Print
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Title:HIGH-QUALITY SELF-SUPERVISED DEEP IMAGE DENOISING
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Contributors:Laine, Samuli ( author ) / Karras, Tero ( author ) / Lehtinen, Jaakko ( author ) / Aila, Timo ( author )
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Conference:NeurIPS ; 33. ; 2019 ; Vancouver, British Columbia
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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:2020
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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.
- 6363
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VARIATIONAL BAYESIAN DECISION-MAKING FOR CONTINUOUS UTILITIESKusmierczyk, Tomasz / Sakaya, Joseph / Klami, Arto et al. | 2020
- 6374
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THE NORMALIZATION METHOD FOR ALLEVIATING PATHOLOGICAL SHARPNESS IN WIDE NEURAL NETWORKSKarakida, Ryo / Akaho, Shotaro / Amari, Shun-Ichi et al. | 2020
- 6385
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SINGLE-MODEL UNCERTAINTIES FOR DEEP LEARNINGTagasovska, Natasa / Lopez-Paz, David et al. | 2020
- 6397
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IS DEEPER BETTER ONLY WHEN SHALLOW IS GOOD?Malach, Eran / Shalev-Shwartz, Shai et al. | 2020
- 6407
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WASSERSTEIN WEISFEILER-LEHMAN GRAPH KERNELSTogninalli, Matteo / Ghisu, Elisabetta / Llinares-López, Felipe / Rieck, Bastian / Borgwardt, Karsten et al. | 2020
- 6418
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DOMAIN GENERALIZATION VIA MODEL-AGNOSTIC LEARNING OF SEMANTIC FEATURESDou, Qi / Castro, Daniel Coelho De / Kamnitsas, Konstantinos / Glocker, Ben et al. | 2020
- 6430
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GRID SALIENCY FOR CONTEXT EXPLANATIONS OF SEMANTIC SEGMENTATIONHoyer, Lukas / Munoz, Mauricio / Katiyar, Prateek / Khoreva, Anna / Fischer, Volker et al. | 2020
- 6442
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FIRST-ORDER METHODS ALMOST ALWAYS AVOID SADDLE POINTS: THE CASE OF VANISHING STEP-SIZESPanageas, loannis / Piliouras, Georgios / Wang, Xiao et al. | 2020
- 6452
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MAXIMUM MEAN DISCREPANCY GRADIENT FLOWArbel, Michael / Korba, Anna / Salim, Adil / Gretton, Arthur et al. | 2020
- 6463
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OBLIVIOUS SAMPLING ALGORITHMS FOR PRIVATE DATA ANALYSISSasy, Sajin / Ohrimenko, Olga et al. | 2020
- 6475
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SEMI-SUPERVISEDLY CO-EMBEDDING ATTRIBUTED NETWORKSMeng, Zaiqiao / Liang, Shangsong / Fang, Jinyuan / Xiao, Teng et al. | 2020
- 6485
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FROM VOXELS TO PIXELS AND BACK: SELF-SUPERVISION IN NATURAL-IMAGE RECONSTRUCTION FROM FMRIBeliy, Roman / Gaziv, Guy / Hoogi, Assaf / Strappini, Francesca / Golan, Tal / Irani, Michal et al. | 2020
- 6496
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COPULAS AS HIGH-DIMENSIONAL GENERATIVE MODELS: VINE COPULA AUTOENCODERSTagasovska, Natasa / Ackerer, Damien / Vatter, Thibault et al. | 2020
- 6509
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NONSTOCHASTIC MULTIARMED BANDITS WITH UNRESTRICTED DELAYSThune, Tobias Sommer / Cesa-Bianchi, Nicolo / Seldin, Yevgeny et al. | 2020
- 6519
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BIVA: A VERY DEEP HIERARCHY OF LATENT VARIABLES FOR GENERATIVE MODELINGMaalee, Lars / Fraccaro, Marco / Liévin, Valentin / Winther, Ole et al. | 2020
- 6531
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CODE GENERATION AS A DUAL TASK OF CODE SUMMARIZATIONWei, Bolin / Li, Ge / Xia, Xin / Fu, Zhiyi / Jin, Zhi et al. | 2020
- 6542
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DIFFEOMORPHIC TEMPORAL ALIGNMENT NETSWeber, Ron A. Shapira / Eyal, Matan / Skafte, Nicki / Shriki, Oren / Freifeld, Oren et al. | 2020
- 6554
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WEAKLY SUPERVISED INSTANCE SEGMENTATION USING THE BOUNDING BOX TIGHTNESS PRIORHsu, Cheng-Chun / Hsu, Kuang-Jui / Tsai, Chung-Chi / Lin, Yen-Yu / Chuang, Yung-Yu et al. | 2020
- 6566
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ON THE POWER AND LIMITATIONS OF RANDOM FEATURES FOR UNDERSTANDING NEURAL NETWORKSYehudai, Gilad / Shamir, Ohad et al. | 2020
- 6577
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EFFICIENT PURE EXPLORATION IN ADAPTIVE ROUND MODELJin, Tianyuan / Shi, Jieming / Xiao, Xiaokui / Chen, Enhong et al. | 2020
- 6587
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MULTI-OBJECTS GENERATION WITH AMORTIZED STRUCTURAL REGULARIZATIONXu, Taufik / Li, Chongxuan / Zhu, Jun / Zhang, Bo et al. | 2020
- 6598
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NEURAL SHUFFLE-EXCHANGE NETWORKS - SEQUENCE PROCESSING IN O(N LOG N) TIMEFreivalds, Karlis / Ozolins, Emils / Sostaks, Agris et al. | 2020
- 6610
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DETNAS: BACKBONE SEARCH FOR OBJECT DETECTIONChen, Yukang / Yang, Tong / Zhang, Xiangyu / Meng, Gaofeng / Xiao, Xinyu / Sun, Jian et al. | 2020
- 6621
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STOCHASTIC PROXIMAL LANGEVIN ALGORITHM: POTENTIAL SPLITTING AND NONASYMPTOTIC RATESSalim, Adil / Koralev, Dmitry / Richtarik, Peter et al. | 2020
- 6633
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FAST AUTOAUGMENTLim, Sungbin / Kim, Ildoo / Kim, Taesup / Kim, Chiheon / Kim, Sungwoong et al. | 2020
- 6644
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ON THE CONVERGENCE RATE OF TRAINING RECURRENT NEURAL NETWORKSAllen-Zhu, Zeyuan / Li, Yuanzhi / Song, Zhao et al. | 2020
- 6657
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INTERVAL TIMING IN DEEP REINFORCEMENT LEARNING AGENTSDeverett, Ben / Faulkner, Ryan / Fortunato, Meire / Wayne, Gregory / Leibo, Joel Z. et al. | 2020
- 6667
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GRAPH-BASED DISCRIMINATORS: SAMPLE COMPLEXITY AND EXPRESSIVENESSLivni, Roi / Mansour, Yishay et al. | 2020
- 6677
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LARGE SCALE STRUCTURE OF NEURAL NETWORK LOSS LANDSCAPESFort, Stanislav / Jastrzebski, Stanislaw et al. | 2020
- 6686
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LEARNING NONSYMMETRIC DETERMINANTAL POINT PROCESSESGartrell, Mike / Brunel, Victor-Emmanuel / Dohmatob, Elvis / Krichene, Syrine et al. | 2020
- 6697
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HYPOTHESIS SET STABILITY AND GENERALIZATIONFoster, Dylan J. / Greenberg, Spencer / Kale, Satyen / Luo, Haipeng / Mohri, Mehryar / Sridharan, Karthik et al. | 2020
- 6708
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LEARNING OBJECT BOUNDING BOXES FOR 3D INSTANCE SEGMENTATION ON POINT CLOUDSYang, Bo / Wang, Jianan / Clark, Ronald / Hu, Qingyong / Wang, Sen / Markham, Andrew / Trigoni, Niki et al. | 2020
- 6718
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PRECISION-RECALL BALANCED TOPIC MODELLINGVirtanen, Seppo / Girolami, Mark et al. | 2020
- 6728
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LEARNING SPARSE DISTRIBUTIONS USING ITERATIVE HARD THRESHOLDINGZhang, Jacky Y. / Khanna, Rajiv / Kyrillidis, Anastasios / Koyejo, Oluwasanmi O. et al. | 2020
- 6738
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DISCRIMINATIVE TOPIC MODELING WITH LOGISTIC LDAKorshunova, Iryna / Xiong, Hanchen / Fedoryszak, Mateusz / Theis, Lucas et al. | 2020
- 6749
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QUANTUM WASSERSTEIN GENERATIVE ADVERSARIAL NETWORKSChakrabarti, Shouvanik / Yiming, Huang / Li, Tongyang / Feizi, Soheil / Wu, Xiaodi et al. | 2020
- 6761
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BLOW: A SINGLE-SCALE HYPERCONDITIONED FLOW FOR NON-PARALLEL RAW-AUDIO VOICE CONVERSIONSerrà, Joan / Pascual, Santiago / Perales, Carlos Segura et al. | 2020
- 6772
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HYPERPARAMETER LEARNING VIA DISTRIBUTIONAL TRANSFERLaw, Ho Chung / Zhao, Peilin / Chan, Leung Sing / Huang, Junzhou / Sejdinovic, Dino et al. | 2020
- 6784
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DISCRIMINATOR OPTIMAL TRANSPORTTanaka, Akinori et al. | 2020
- 6795
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HIGH-DIMENSIONAL MULTIVARIATE FORECASTING WITH LOW-RANK GAUSSIAN COPULA PROCESSESSalinas, David / Bohlke-Schneider, Michael / Callot, Laurent / Medico, Roberto / Gasthaus, Jan et al. | 2020
- 6806
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ARE ANCHOR POINTS REALLY INDISPENSABLE IN LABEL-NOISE LEARNING?Xia, Xiaobo / Liu, Tongliang / Wang, Nannan / Han, Bo / Gong, Chen / Niu, Gang / Sugiyama, Masashi et al. | 2020
- 6818
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ALIGNING VISUAL REGIONS AND TEXTUAL CONCEPTS FOR SEMANTIC-GROUNDED IMAGE REPRESENTATIONSLiu, Fenglin / Liu, Yuanxin / Ren, Xuancheng / He, Xiaodong / Sun, Xu et al. | 2020
- 6829
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DIFFERENTIABLE RANKING AND SORTING USING OPTIMAL TRANSPORTCuturi, Marco / Teboul, Olivier / Vert, Jean-Philippe et al. | 2020
- 6840
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DICHOTOMIZE AND GENERALIZE: PAC-BAYESIAN BINARY ACTIVATED DEEP NEURAL NETWORKSLetarte, Gaél / Germain, Pascal / Guedj, Benjamin / Laviolette, Francois et al. | 2020
- 6851
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LIKELIHOOD-FREE OVERCOMPLETE ICA AND APPLICATIONS IN CAUSAL DISCOVERYDing, Chenwei / Gong, Mingming / Zhang, Kun / Tao, Dacheng et al. | 2020
- 6862
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INTERIOR-POINT METHODS STRIKE BACK: SOLVING THE WASSERSTEIN BARYCENTER PROBLEMGe, Dongdong / Wang, Haoyue / Xiong, Zikai / Ye, Yinyu et al. | 2020
- 6874
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BEYOND VECTOR SPACES: COMPACT DATA REPRESENTATION AS DIFFERENTIABLE WEIGHTED GRAPHSMazur, Denis / Egiazarian, Vage / Morozov, Stanislav / Babenko, Artem et al. | 2020
- 6885
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SUBSPACE DETOURS: BUILDING TRANSPORT PLANS THAT ARE OPTIMAL ON SUBSPACEMuzellec, Boris / Cuturi, Marco et al. | 2020
- 6897
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EFFICIENT SMOOTH NON-CONVEX STOCHASTIC COMPOSITIONAL OPTIMIZATION VIA STOCHASTIC RECURSIVE GRADIENT DESCENTHu, Wenging / Li, Chris Junchi / Lian, Xiangru / Liu, Ji / Yuan, Huizhuo et al. | 2020
- 6906
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ON THE CONVERGENCE OF SINGLE-CALL STOCHASTIC EXTRA-GRADIENT METHODSHsieh, Yu-Guan / Tutzeler, Franck / Malick, Jérôme / Mertikopoulos, Panayotis et al. | 2020
- 6917
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INFRA-SLOW BRAIN DYNAMICS AS A MARKER FOR COGNITIVE FUNCTION AND DECLINEAjmera, Shagun Ajmera Shyam Sunder / Rajagopal, Shreya / Rehman, Razi / Sridharan, Devarajan et al. | 2020
- 6929
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ROBUST PRINCIPAL COMPONENT ANALYSIS WITH ADAPTIVE NEIGHBORSZhang, Rui / Tong, Hanghang et al. | 2020
- 6938
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HIGH-QUALITY SELF-SUPERVISED DEEP IMAGE DENOISINGLaine, Samuli / Karras, Tero / Lehtinen, Jaakko / Aila, Timo et al. | 2020
- 6949
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DYNAMICS OF STOCHASTIC GRADIENT DESCENT FOR TWO-LAYER NEURAL NETWORKS IN THE TEACHER-STUDENT SETUPGoldt, Sebastian / Advani, Madhu / Saxe, Andrew M. / Krzakala, Florent / Zdeborová, Lenka et al. | 2020
- 6960
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GIFT: LEARNING TRANSFORMATION-INVARIANT DENSE VISUAL DESCRIPTORS VIA GROUP CNNSLiu, Yuan / Shen, Zehong / Lin, Zhixuan / Peng, Sida / Bao, Hujun / Zhou, Xiaowei et al. | 2020
- 6972
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ONLINE PREDICTION OF SWITCHING GRAPH LABELINGS WITH CLUSTER SPECIALISTSHerbster, Mark / Robinson, James et al. | 2020
- 6983
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GRAPH-BASED SEMI-SUPERVISED LEARNING WITH NON-IGNORABLE NON-RESPONSEZhou, Fan / Li, Tengfei / Zhou, Haibo / Zhu, Hongtu / Jieping, Ye et al. | 2020
- 6994
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BATCHBALD: EFFICIENT AND DIVERSE BATCH ACQUISITION FOR DEEP BAYESIAN ACTIVE LEARNINGKirsch, Andreas / Amersfoort, Joost Van / Gal, Yarin et al. | 2020
- 7006
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A MEAN FIELD THEORY OF QUANTIZED DEEP NETWORKS: THE QUANTIZATION-DEPTH TRADE-OFFBlumenfeld, Yaniv / Gilboa, Dar / Soudry, Daniel et al. | 2020
- 7017
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BEYOND CONFIDENCE REGIONS: TIGHT BAYESIAN AMBIGUITY SETS FOR ROBUST MDPSPetrik, Marek / Russel, Reazul Hasan et al. | 2020
- 7027
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CROSS-LINGUAL LANGUAGE MODEL PRETRAININGConneau, Alexis / Lample, Guillaume et al. | 2020
- 7038
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APPROXIMATE BAYESIAN INFERENCE FOR A MECHANISTIC MODEL OF VESICLE RELEASE AT A RIBBON SYNAPSESchroder, Cornelius / James, Ben / Lagnado, Leon / Berens, Philipp et al. | 2020
- 7049
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UPDATES OF EQUILIBRIUM PROP MATCH GRADIENTS OF BACKPROP THROUGH TIME IN AN RNN WITH STATIC INPUTErnoult, Maxence / Grollier, Julie / Querlioz, Damien / Bengio, Yoshua / Scellier, Benjamin et al. | 2020
- 7060
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UNIVERSAL INVARIANT AND EQUIVARIANT GRAPH NEURAL NETWORKSKeriven, Nicolas / Peyré, Gabriel et al. | 2020
- 7070
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ARE SAMPLE MEANS IN MULTI-ARMED BANDITS POSITIVELY OR NEGATIVELY BIASED?Shin, Jaehyeok / Ramdas, Aaditya / Rinaldo, Alessandro et al. | 2020
- 7080
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ON THE CORRECTNESS AND SAMPLE COMPLEXITY OF INVERSE REINFORCEMENT LEARNINGKomanduru, Abi / Honorio, Jean et al. | 2020
- 7090
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VIREL: A VARIATIONAL INFERENCE FRAMEWORK FOR REINFORCEMENT LEARNINGFellows, Matthew / Mahajan, Anuj / Rudner, Tim G. J. / Whiteson, Shimon et al. | 2020
- 7105
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FIRST ORDER MOTION MODEL FOR IMAGE ANIMATIONSiarohin, Aliaksandr / Lathuiliére, Stéphane / Tulyakov, Sergey / Ricci, Elisa / Sebe, Nicu et al. | 2020
- 7116
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TENSOR MONTE CARLO: PARTICLE METHODS FOR THE GPU ERAAitchison, Laurence et al. | 2020
- 7126
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UNSUPERVISED EMERGENCE OF EGOCENTRIC SPATIAL STRUCTURE FROM SENSORIMOTOR PREDICTIONLaflaquiére, Alban / Ortiz, Michael Garcia et al. | 2020
- 7137
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LEARNING FROM LABEL PROPORTIONS WITH GENERATIVE ADVERSARIAL NETWORKSLiu, Jiabin / Wang, Bo / Qi, Zhiquan / Tian, Yingjie / Shi, Yong et al. | 2020
- 7148
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EFFICIENT AND THRIFTY VOTING BY ANY MEANS NECESSARYMandal, Debmalya / Procaccia, Ariel D. / Shah, Nisarg / Woodruff, David et al. | 2020