Papers
11,015 papers found
How gradient estimator variance and bias impact learning in neural networks
Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie et al.
How I Learned to Stop Worrying and Love Retraining
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Jetze Schuurmans, kim batselier, Julian Kooij
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping, Micah Goldblum, Gowthami Somepalli et al.
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Yutong Xie, Ziqiao Xu, Jiaqi Ma et al.
How robust is unsupervised representation learning to distribution shift?
Yuge Shi, Imant Daunhawer, Julia E Vogt et al.
How Sharpness-Aware Minimization Minimizes Sharpness?
Kaiyue Wen, Tengyu Ma, Zhiyuan Li
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming, Yiyou Sun, Ousmane Dia et al.
How to prepare your task head for finetuning
Yi Ren, Shangmin Guo, Wonho Bae et al.
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
Albert Gu, Isys Johnson, Aman Timalsina et al.
Human alignment of neural network representations
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt et al.
Human-Guided Fair Classification for Natural Language Processing
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov et al.
Human-level Atari 200x faster
Steven Kapturowski, Víctor Campos, Ray Jiang et al.
Humanly Certifying Superhuman Classifiers
Qiongkai Xu, Christian Walder, Chenchen Xu
Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon et al.
Human MotionFormer: Transferring Human Motions with Vision Transformers
Hongyu Liu, Xintong Han, Chenbin Jin et al.
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Daniel Y Fu, Tri Dao, Khaled Kamal Saab et al.
Hybrid RL: Using both offline and online data can make RL efficient
Yuda Song, Yifei Zhou, Ayush Sekhari et al.
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein et al.
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
Luca Franco, Paolo Mandica, Bharti Munjal et al.
Hyper-Decision Transformer for Efficient Online Policy Adaptation
Mengdi Xu, Yuchen Lu, Yikang Shen et al.
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Jae Yong Lee, SungWoong CHO, Hyung Ju Hwang
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
ZeFeng Cai, Chongyang Tao, Tao Shen et al.
Hyperparameter Optimization through Neural Network Partitioning
Bruno Kacper Mlodozeniec, Matthias Reisser, Christos Louizos
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
Jie Zhang, Chen Chen, Lingjuan Lyu