Self-Supervised Learning

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy IJCAI 2024 Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective ICML 2024 Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation NeurIPS 2024 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark ICLR 2024 Towards More Unified In-context Visual Understanding CVPR 2024 Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline Interspeech 2024 Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models Interspeech 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024 Towards Privacy-Aware Sign Language Translation at Scale ACL 2024 Towards Realistic Model Selection for Semi-supervised Learning ICML 2024 Towards Real-world Scenario: Imbalanced New Intent Discovery ACL 2024 Towards Robust 3D Pose Transfer with Adversarial Learning CVPR 2024 Towards Robust Speech Representation Learning for Thousands of Languages EMNLP 2024 Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning ACL 2024 Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network CVPR 2024 Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models Interspeech 2024 Towards Understanding the Relationship between In-context Learning and Compositional Generalization COLING 2024 Towards Variable and Coordinated Holistic Co-Speech Motion Generation CVPR 2024 To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models EMNLP 2024 Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling IJCAI 2024 Transcriptomics-guided Slide Representation Learning in Computational Pathology CVPR 2024 Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection ACL 2024 Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity AAAI 2024