KEEPING YOUR DISTANCE: SOLVING SPARSE REWARD TASKS USING SELF-BALANCING SHAPED

von Trott, Alexander
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

DON’T JUST BLAME OVER-PARAMETRIZATION FOR OVER-CONFIDENCE: THEORETICAL ANALYSIS OF CALIBRATION IN BINARY CLASSIFICATION

von BAI, YU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

Understanding the Under-Coverage Bias in Uncertainty Estimation

von Bai, Yu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

von Bai, Yu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 31 of 36 (2022)

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

von Arpit, Devansh
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

ADAPT-AND-ADJUST: OVERCOMING THE LONG-TAIL PROBLEM OF MULTILINGUAL SPEECH RECOGNITION

von Winata, Genta Indra
Veröffentlicht in INTERSPEECH (22. : 2021 : Brünn; Online) 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021) ; Volume 1 of 6 (2021)

Theory-Inspired Path-Regularized Differential Network Architecture Search

von Zhou, Pan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning

von Zhou, Pan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

LITEEVAL: A COARSE-TO-FINE FRAMEWORK FOR RESOURCE EFFICIENT VIDEO RECOGNITION

von Wu, Zuxuan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

von Xie, Tengyang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

Evaluating State-of-the-Art Classification Models Against Bayes Optimality

von Theisen, Ryan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 12 of 36 (2022)

Policy Optimization for Markov Games: Unified Framework and Faster Convergence

von Zhang, Runyu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)

AN INVESTIGATION OF PHONE-BASED SUBWORD UNITS FOR END-TO-END SPEECH RECOGNITION

von Wang, Weiran
Veröffentlicht in INTERSPEECH (21. : 2020 : Online) Cognitive intelligence for speech processing ; Volume 3 of 7 (2020)

Online Structured Meta-learning

von Yao, Huaxiu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

TASK SIMILARITY AWARE META LEARNING: THEORY-INSPIRED IMPROVEMENT ON MAML

von Zhou, Pan
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 1 of 3 (2022)

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

von Li, Junnan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 12 of 36 (2022)

TOWARDS THEORETICALLY UNDERSTANDING WHY SGD GENERALIZES BETTER THAN ADAM IN DEEP LEARNING

von Zhou, Pan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

EXPLORE, DISCOVER AND LEARN: UNSUPERVISED DISCOVERY OF STATE-COVERING SKILLS

von Campos, Víctor
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

von Gao, Mingfei
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 10 (2022)

TOWARDS UNDERSTANDING HIERARCHICAL LEARNING: BENEFITS OF NEURAL REPRESETATIONS

von Chen, Minshuo
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 27 of 27 (2021)