Papers
11,015 papers found
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit Sikchi, Qinqing Zheng, Amy Zhang et al.
Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
Li Siyao, Tianpei Gu, Zhitao Yang et al.
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Yueru Luo, Shuguang Cui, Zhen Li
Dynamic Discounted Counterfactual Regret Minimization
Hang Xu, Kai Li, Haobo Fu et al.
Dynamic Layer Tying for Parameter-Efficient Transformers
Tamir David Hay, Lior Wolf
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
Fabian Akkerman, Julius Luy, Wouter van Heeswijk et al.
Dynamic Neural Response Tuning
Tian Qiu, Wenxiang Xu, Lin Chen et al.
Dynamics-Informed Protein Design with Structure Conditioning
Urszula Julia Komorowska, Simon V Mathis, Kieran Didi et al.
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Yuxin Zhang, Lirui Zhao, Mingbao Lin et al.
Dynamic Sparse Training with Structured Sparsity
Mike Lasby, Anna Golubeva, Utku Evci et al.
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
Yanpeng Zhao, Siyu Gao, Yunbo Wang et al.
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf et al.
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
Kaijie Zhu, Jiaao Chen, Jindong Wang et al.
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
Hancheng Min, Enrique Mallada, Rene Vidal
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan, Lei Feng, Tongliang Liu
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Siqiao Xue, Xiaoming Shi, Zhixuan Chu et al.
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
Huaijin Wu, Wei Liu, Yatao Bian et al.
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
EControl: Fast Distributed Optimization with Compression and Error Control
Yuan Gao, Rustem Islamov, Sebastian U Stich
ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF
Jangho Park, Gihyun Kwon, Jong Chul Ye
Effective and Efficient Federated Tree Learning on Hybrid Data
Qinbin Li, Chulin Xie, Xiaojun Xu et al.
Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max A Gurinas et al.
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Kamal Mohamed Abbas, Evgenia Rusak, Kushal Tirumala et al.
Effective Structural Encodings via Local Curvature Profiles
Lukas Fesser, Melanie Weber
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang et al.