Representation Learning

Towards a Deep Understanding of Multilingual End-to-End Speech Translation EMNLP 2023 Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP 2023 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023 Towards Faithful Dialogues via Focus Learning ACL 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture ACL 2023 Towards robust and generalizable representations of extracellular data using contrastive learning NeurIPS 2023 Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL 2023 Towards Robust Metrics for Concept Representation Evaluation AAAI 2023 Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization ACL 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NeurIPS 2023 Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision CVPR 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023 Towards Voice Reconstruction from EEG during Imagined Speech AAAI 2023 Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations ACL 2023 Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023 Trafformer: Unify Time and Space in Traffic Prediction AAAI 2023 Transformed Distribution Matching for Missing Value Imputation ICML 2023 Transformer Language Models Handle Word Frequency in Prediction Head ACL 2023 Tree-Based Representation and Generation of Natural and Mathematical Language ACL 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 Two-step Text Summarization for Long-form Biographical Narrative Genre ACL 2023 Uncertainty Guided Global Memory Improves Multi-Hop Question Answering EMNLP 2023 Understanding and Improving Features Learned in Deep Functional Maps CVPR 2023 Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NeurIPS 2023