UNICORNN: A RECURRENT MODEL FOR LEARNING VERY LONG TIME DEPENDENCIES (English)
- New search for: RUSCH, T. KONSTANTIN
- New search for: MISHRA, SIDDHARTHA
- New search for: RUSCH, T. KONSTANTIN
- New search for: MISHRA, SIDDHARTHA
In:
International Conference on Machine Learning (ICML 2021 ; Part 12 of 16
; 9158-9168
;
2022
- Conference paper / Print
-
Title:UNICORNN: A RECURRENT MODEL FOR LEARNING VERY LONG TIME DEPENDENCIES
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Contributors:RUSCH, T. KONSTANTIN ( author ) / MISHRA, SIDDHARTHA ( author )
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Conference:International Conference on Machine Learning ; 38. ; 2021 ; 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:2022
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Type of media:Conference paper
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Type of material:Print
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Language:English
-
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.
- 8915
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ALIGN, THEN MEMORISE: THE DYNAMICS OF LEARNING WITH FEEDBACK ALIGNMENTREFINETTI, MARIA / D’ASCOLI, STÉPHANE / OHANA, RUBEN / GOLDT, SEBASTIAN et al. | 2022
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CLASSIFYING HIGH-DIMENSIONAL GAUSSIAN MIXTURES: WHERE KERNEL METHODS FAIL AND NEURAL NETWORKS SUCCEEDREFINETTI, MARIA / GOLDT, SEBASTIAN / KRZAKALA, FLORENT / ZDEBOROVA, LENKA et al. | 2022
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SHARF: SHAPE-CONDITIONED RADIANCE FIELDS FROM A SINGLE VIEWREMATAS, KONSTANTINOS / MARTIN-BRUALLA, RICARDO / FERRARI, VITTORIO et al. | 2022
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LEGO: LATENT EXECUTION-GUIDED REASONING FOR MULTI-HOP QUESTION ANSWERING ON KNOWLEDGE GRAPHSREN, HONGYU / DAI, HANJUN / DAI, BO / CHEN, XINYUN / YASUNAGA, MICHIHIRO / SUN, HAITIAN / SCHUURMANS, DALE / LESKOVEC, JURE / ZHOU, DENNY et al. | 2022
- 8961
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INTERPRETING AND DISENTANGLING FEATURE COMPONENTS OF VARIOUS COMPLEXITY FROM DNNSREN, JIE / LI, MINGJIE / LIU, ZEXU / ZHANG, QUANSHI et al. | 2022
- 8972
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INTEGRATED DEFENSE FOR RESILIENT GRAPH MATCHINGREN, JIAXIANG / ZHANG, ZIJIE / JIN, JIAYIN / ZHAO, XIN / WU, SIXING / ZHOU, YANG / SHEN, YELONG / CHE, TIANSHI / JIN, RUOMING / DOU, DEJING et al. | 2022
- 8988
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Solving high-dimensional parabolic PDEs using the tensor train formatRichter, Lorenz / Sallandt, Leon / Nüsken, Nikolas et al. | 2022
- 9000
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BEST ARM IDENTIFICATION IN GRAPHICAL BILINEAR BANDITSRIZK, GEOVANI / THOMAS, ALBERT / COLIN, IGOR / LARAKI, RIDA / CHEVALEYRE, YANN et al. | 2022
- 9010
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PRINCIPLED SIMPLICIAL NEURAL NETWORKS FOR TRAJECTORY PREDICTIONRODDENBERRY, T. MITCHELL / GLAZE, NICHOLAS / SEGARRA, SANTIAGO et al. | 2022
- 9020
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ON LINEAR IDENTIFIABILITY OF LEARNED REPRESENTATIONSROEDER, GEOFFREY / METZ, LUKE / KINGMA, DIEDERIK P. et al. | 2022
- 9030
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REPRESENTATION MATTERS: ASSESSING THE IMPORTANCE OF SUBGROUP ALLOCATIONS IN TRAINING DATAROLF, ESTHER / WORLEDGE, THEODORA / RECHT, BENJAMIN / JORDAN, MICHAEL I. et al. | 2022
- 9042
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TEACHMYAGENT: A BENCHMARK FOR AUTOMATIC CURRICULUM LEARNING IN DEEP RLROMAC, CLÉMENT / PORTELAS, RÉMY / HOFMANN, KATJA / OUDEYER, PIERRE-YVES et al. | 2022
- 9054
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DISCRETIZATION DRIFT IN TWO-PLAYER GAMESROSCA, MIHAELA C. / WU, YAN / DHERIN, BENOIT / BARRETT, DAVID et al. | 2022
- 9065
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ON THE PREDICTABILITY OF PRUNING ACROSS SCALESROSENFELD, JONATHAN / FRANKLE, JONATHAN / CARBIN, MICHAEL / SHAVIT, NIR et al. | 2022
- 9074
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BENCHMARKS, ALGORITHMS, AND METRICS FOR HIERARCHICAL DISENTANGLEMENTROSS, ANDREW SLAVIN / DOSHI-VELEZ, FINALE et al. | 2022
- 9085
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SIMULTANEOUS SIMILARITY-BASED SELF-DISTILLATION FOR DEEP METRIC LEARNINGROTH, KARSTEN / MILBICH, TIMO / OMMER, BJORN / COHEN, JOSEPH PAUL / GHASSEMI, MARZYEH et al. | 2022
- 9097
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MULTI-GROUP AGNOSTIC PAC LEARNABILITYROTHBLUM, GUY N. / YONA, GAL et al. | 2022
- 9106
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PACOH: BAYES-OPTIMAL META-LEARNING WITH PAC-GUARANTEESROTHFUSS, JONAS / FORTUIN, VINCENT / JOSIFOSKI, MARTIN / KRAUSE, ANDREAS et al. | 2022
- 9117
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AN ALGORITHM FOR STOCHASTIC AND ADVERSARIAL BANDITS WITH SWITCHING COSTSROUYER, CHLOÉ / SELDIN, YEVGENY / CESA-BIANCHI, NICOLÒ et al. | 2022
- 9126
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IMPROVING LOSSLESS COMPRESSION RATES VIA MONTE CARLO BITS-BACK CODINGRUAN, YANGJUN / ULLRICH, KAREN / SEVERO, DANIEL / TOWNSEND, JAMES / KHISTI, ASHISH / DOUCET, ARNAUD / MAKHZANI, ALIREZA / MADDISON, CHRIS J. et al. | 2022
- 9138
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ON SIGNAL-TO-NOISE RATIO ISSUES IN VARIATIONAL INFERENCE FOR DEEP GAUSSIAN PROCESSESRUDNER, TIM G. J. / KEY, OSCAR / GAL, YARIN / RAINFORTH, TOM et al. | 2022
- 9147
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TILTING THE PLAYING FIELD: DYNAMICAL LOSS FUNCTIONS FOR MACHINE LEARNINGRUIZ-GARCIA, MIGUEL / ZHANG, GE / SCHOENHOLZ, SAMUEL S. / LIU, ANDREA J. et al. | 2022
- 9158
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UNICORNN: A RECURRENT MODEL FOR LEARNING VERY LONG TIME DEPENDENCIESRUSCH, T. KONSTANTIN / MISHRA, SIDDHARTHA et al. | 2022
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- 9180
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- 9192
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TRAINING DATA SUBSET SELECTION FOR REGRESSION WITH CONTROLLED GENERALIZATION ERRORS, DURGA / IYER, RISHABH / RAMAKRISHNAN, GANESH / DE, ABIR et al. | 2022
- 9203
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- 9214
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STOCHASTIC SIGN DESCENT METHODS: NEW ALGORITHMS AND BETTER THEORYSAFARYAN, MHER / RICHTARIK, PETER et al. | 2022
- 9225
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- 9235
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- 9245
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- 9255
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- 9266
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- 9278
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META-LEARNING BIDIRECTIONAL UPDATE RULESSANDLER, MARK / VLADYMYROV, MAX / ZHMOGINOV, ANDREY / MILLER, NOLAN / JACKSON, ANDREW / MADAMS, TOM / ARCAS, BLAISE AGÜERA Y et al. | 2022
- 9291
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- 9303
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- 9313
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- 9323
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- 9334
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LOW-RANK SINKHORN FACTORIZATIONSCETBON, MEYER / CUTURI, MARCO / PEYRÉ, GABRIEL et al. | 2022
- 9345
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LINEAR TRANSFORMERS ARE SECRETLY FAST WEIGHT PROGRAMMERSSCHLAG, IMANOL / IRIE, KAZUKI / SCHMIDHUBER, JÜRGEN et al. | 2022
- 9357
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DESCENDING THROUGH A CROWDED VALLEY - BENCHMARKING DEEP LEARNING OPTIMIZERSSCHMIDT, ROBIN M. / SCHNEIDER, FRANK / HENNIG, PHILIPP et al. | 2022
- 9367
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EQUIVARIANT MESSAGE PASSING FOR THE PREDICTION OF TENSORIAL PROPERTIES AND MOLECULAR SPECTRASCHÜTT, KRISTOF T. / UNKE, OLIVER T. / GASTEGGER, MICHAEL et al. | 2022
- 9379
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- 9389
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- 9400
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LEARNING INTRA-BATCH CONNECTIONS FOR DEEP METRIC LEARNINGSEIDENSCHWARZ, JENNY / ELEZI, ISMAIL / LEAL-TAIXÉ, LAURA et al. | 2022
- 9412
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- 9424
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PURE EXPLORATION AND REGRET MINIMIZATION IN MATCHING BANDITSSENTENAC, FLORE / YI, JIALIN / CALAUZENES, CLEMENT / PERCHET, VIANNEY / VOJNOVIC, MILAN et al. | 2022
- 9433
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STATE ENTROPY MAXIMIZATION WITH RANDOM ENCODERS FOR EFFICIENT EXPLORATIONSEO, YOUNGGYO / CHEN, LILI / SHIN, JINWOO / LEE, HONGLAK / ABBEEL, PIETER / LEE, KIMIN et al. | 2022
- 9445
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ONLINE SUBMODULAR RESOURCE ALLOCATION WITH APPLICATIONS TO REBALANCING SHARED MOBILITY SYSTEMSSESSA, PIER GIUSEPPE / BOGUNOVIC, ILIJA / KRAUSE, ANDREAS / KAMGARPOUR, MARYAM et al. | 2022
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RRL: RESNET AS REPRESENTATION FOR REINFORCEMENT LEARNINGSHAH, RUTAV M. / KUMAR, VIKASH et al. | 2022
- 9467
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EQUIVARIANT NETWORKS FOR PIXELIZED SPHERESSHAKERINAVA, MEHRAN / RAVANBAKHSH, SIAMAK et al. | 2022
- 9479
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PERSONALIZED FEDERATED LEARNING USING HYPERNETWORKSSHAMSIAN, AVIV / NAVON, AVIV / FETAYA, ETHAN / CHECHIK, GAL et al. | 2022
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ON THE POWER OF LOCALIZED PERCEPTRON FOR LABEL-OPTIMAL LEARNING OF HALFSPACES WITH ADVERSARIAL NOISESHEN, JIE et al. | 2022
- 9505
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SAMPLE-OPTIMAL PAC LEARNING OF HALFSPACES WITH MALICIOUS NOISESHEN, JIE et al. | 2022
- 9515
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BACKDOOR SCANNING FOR DEEP NEURAL NETWORKS THROUGH K-ARM OPTIMIZATIONSHEN, GUANGYU / LIU, YINGQI / TAO, GUANHONG / AN, SHENGWEI / XU, QIULING / CHENG, SIYUAN / MA, SHIQING / ZHANG, XIANGYU et al. | 2022
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STATE RELEVANCE FOR OFF-POLICY EVALUATIONSHEN, SIMON P. / MA, YECHENG JASON / GOTTESMAN, OMER / DOSHI-VELEZ, FINALE et al. | 2022
- 9537
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SPARSEBERT: RETHINKING THE IMPORTANCE ANALYSIS IN SELF-ATTENTIONSHI, HAN / GAO, JIAHUI / REN, XIAOZHE / XU, HANG / LIANG, XIAODAN / LI, ZHENGUO / KWOK, JAMES TIN-YAU et al. | 2022
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- 9559
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SEGMENTING HYBRID TRAJECTORIES USING LATENT ODESSHI, RUIAN / MORRIS, QUAID et al. | 2022
- 9570
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