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Exploring Trustworthy Foundation Models under Imperfect Data

August 30, 2024

Towards privacy-preserving distributed machine learning systems

August 28, 2024

Harnessing LLMs for Practical NL2SQL: Paradigms and Challenges

August 21, 2024

Efficient Deep Neural Architecture Design and Training

August 21, 2024

Towards Evolutionary Multi-task Optimization

August 2, 2024

Scalable Algorithms for Random-Walk Probability Estimation

July 12, 2024

Decision Making with Multimodal Learning

May 29, 2024

Trustworthy Machine Learning under Imperfect Data: Data Collection, Data Curation, and Robust Learning

May 28, 2024

Assisting Software Engineering Tasks beyond Natural Language Processing

April 8, 2024

Compressed Data Direct Computing for Databases

March 27, 2024

Causal Representation Learning

March 24, 2024

New Data Structures on Graph and Geometric Data with Theoretical Guarantees

March 14, 2024

Towards Better Reasoning with Large Language Models

March 11, 2024

Advances in Long-tail Learning

March 4, 2024

From Atom to Earth: Exploring the Frontiers of AI in Science

February 21, 2024

In which Matching Markets do Costly Compatibility Inspections Lead to a Deadlock?

February 20, 2024

Joint Influence: From Theory to Applications

February 7, 2024

Learning to Synthesize Images from Multi-modal and Hierarchical Inputs

February 4, 2024