LeCun, Yann
175 publications
ICLR
2025
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
AISTATS
2025
Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization
NeurIPS
2025
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
NeurIPS
2025
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks Using World-Model-Guided Trajectory Generation
ICLR
2025
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
ICMLW
2024
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
NeurIPSW
2024
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
NeurIPS
2024
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
NeurIPS
2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
NeurIPSW
2024
Squeezing Performance from Pathology Foundation Models with Chained Hyperparameter Searches
ICLRW
2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
NeurIPS
2022
A Data-Augmentation Is Worth a Thousand Samples: Analytical Moments and Sampling-Free Training
NeurIPS
2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
ICLR
2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
NeurIPS
2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
CVPR
2007
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition