Papers
11,015 papers found
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
Xianbiao Qi, Jianan Wang, Yihao Chen et al.
Liquid Structural State-Space Models
Ramin Hasani, Mathias Lechner, Tsun-Hsuan Wang et al.
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
Zhihao Shi, Xize Liang, Jie Wang
LMSeg: Language-guided Multi-dataset Segmentation
Qiang Zhou, Yuang Liu, Chaohui Yu et al.
Localized Randomized Smoothing for Collective Robustness Certification
Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski et al.
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han, Qizheng He, Charles Yu et al.
Logical Message Passing Networks with One-hop Inference on Atomic Formulas
Zihao Wang, Yangqiu Song, Ginny Wong et al.
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
Yuan Yang, Faramarz Fekri, James Clayton Kerce et al.
Long Range Language Modeling via Gated State Spaces
Harsh Mehta, Ankit Gupta, Ashok Cutkosky et al.
Long-Tailed Learning Requires Feature Learning
Thomas Laurent, James von Brecht, Xavier Bresson
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong, Jiangchao Yao, Zhihan Zhou et al.
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
Ping-yeh Chiang, Renkun Ni, David Yu Miller et al.
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma, Claudio Fantacci, Yuxiang Zhou et al.
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
Christian Alexander Haase, Christoph Hertrich, Georg Loho
LPT: Long-tailed Prompt Tuning for Image Classification
Bowen Dong, Pan Zhou, Shuicheng YAN et al.
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Firas Al-Hafez, Davide Tateo, Oleg Arenz et al.
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
Neo Wei Ming, Zhehui Wang, Cheng Liu et al.
Machine Unlearning of Federated Clusters
Chao Pan, Jin Sima, Saurav Prakash et al.
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
Jiaxun Cui, Xiaomeng Yang, Mulong Luo et al.
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Mikayel Samvelyan, Akbir Khan, Michael D Dennis et al.
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes et al.
Making Better Decision by Directly Planning in Continuous Control
Jinhua Zhu, Yue Wang, Lijun Wu et al.
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li, Yiwen Guo, Wangmeng Zuo et al.
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
Yoav Wald, Gal Yona, Uri Shalit et al.
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu, Fanbo Xiang, Xuanlin Li et al.