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Transformer-based Planning for Symbolic Regression

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping

Execution-based Code Generation using Deep Reinforcement Learning

International Workshop on Multimodal Learning – 2023 Theme: Multimodal Learning with Foundation Models

Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy: International Workshop on Multimodal Learning – 2023 Theme: Multimodal Learning with Foundation Models. KDD 2023: 5868-5869

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis

Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy: Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. EACL (Findings) 2023: 2300-2310

SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models

Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev: SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. ACL (1) 2023: 9851-9870

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting

Supervised Contrastive Learning for Interpretable Long-Form Document Matching

A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping

Anisha Kumar

Anisha Kumar is a master’s degree student in the Department of Computer Science. Her research focuses on evaluating and understanding the potential role of artificial intelligence in counteracting online hateful speech.