state of the art

CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation ICML 2025 Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction ICML 2025 Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization ICML 2025 ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training CoRL 2025 Predicting the Susceptibility of Examples to Catastrophic Forgetting ICML 2025 Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences ICML 2025 Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers ICML 2025 A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization ICML 2024 Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning ICML 2024 Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval ICML 2024 Improving Antibody Humanness Prediction using Patent Data ICML 2024 RetroBridge: Modeling Retrosynthesis with Markov Bridges ICLR 2024 TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications AutoML 2024 To the Max: Reinventing Reward in Reinforcement Learning ICML 2024 Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers ICML 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding ICML 2024 Wukong: Towards a Scaling Law for Large-Scale Recommendation ICML 2024 Deep Unsupervised Image Hashing by Maximizing Bit Entropy AAAI 2021 Let Me Know What to Ask: Interrogative-Word-Aware Question Generation EMNLP 2019 Investigating Capsule Networks with Dynamic Routing for Text Classification EMNLP 2018