Tianbao Yang

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization

DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization

Breaking the Limits of Open-Weight CLIP: An Optimization Framework for Self-supervised Fine-tuning of CLIP

Myna: Masking-Based Contrastive Learning of Musical Representations

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning

Advancing Interpretability of CLIP Representations with Concept Surrogate Model

Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning

Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws

A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization

Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data

Gradient Aligned Regression via Pairwise Losses

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning

Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources