Papers
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong, Liyuan Liu, Jingbo Shang
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu et al.
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunovic, Dimitar Dimitrov, Nikola Jovanović et al.
Langevin Autoencoders for Learning Deep Latent Variable Models
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai et al.
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi et al.
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
Zhenhailong Wang, Manling Li, Ruochen Xu et al.
Laplacian Autoencoders for Learning Stochastic Representations
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz et al.
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
Xi Chen, Ali Ghadirzadeh, Tianhe Yu et al.
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
Zeyue Xue, Jianming Liang, Guanglu Song et al.
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid et al.
Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez, Jan-Christian Huetter, Jonathan Pritchard et al.
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao, Qihang Lin, Tianbao Yang
Large-Scale Retrieval for Reinforcement Learning
Peter Humphreys, Arthur Guez, Olivier Tieleman et al.
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li et al.
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
Eduard Gorbunov, Adrien Taylor, Gauthier Gidel
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Hao Fei, Shengqiong Wu, Jingye Li et al.
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han, Zhihang Yuan, Yifan Pu et al.
Latent Hierarchical Causal Structure Discovery with Rank Constraints
Biwei Huang, Charles Jia Han Low, Feng Xie et al.
Latent Planning via Expansive Tree Search
Robert Gieselmann, Florian T. Pokorny
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Geng Yuan, Yanyu Li, Sheng Li et al.
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue et al.
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank
Mouxiang Chen, Chenghao Liu, Zemin Liu et al.
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Mingyu Yang, Jian Zhao, Xunhan Hu et al.
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez, Teck-Yian Lim, Alex Schwing et al.
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Yixuan Pei, Zhiwu Qing, Jun CEN et al.