Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review.
CoRR, January, 2025
A Hierarchical Language Model For Interpretable Graph Reasoning.
CoRR, 2024
Geometry Informed Tokenization of Molecules for Language Model Generation.
CoRR, 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.
CoRR, 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR, 2024
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Graph Structure Extrapolation for Out-of-Distribution Generalization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization.
CoRR, 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GOOD: A Graph Out-of-Distribution Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Keyword Search Based on Unsupervised Pre-Trained Acoustic Models.
Int. J. Asian Lang. Process., 2021
Dynamic 3D point cloud streaming: distortion and concealment.
Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021
A new approach in reject inference of using ensemble learning based on global semi-supervised framework.
Future Gener. Comput. Syst., 2020