Papers
11,955 papers found
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
Xiaosong Zhang, Yunjie Tian, Lingxi Xie et al.
Holistic Adversarially Robust Pruning
Qi Zhao, Christian Wressnegger
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
Chen Liang, Haoming Jiang, Zheng Li et al.
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz et al.
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
Yiwen Kou, Zixiang Chen, Yuan Cao et al.
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.