Self-Supervised Learning

A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding Interspeech 2024 Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models ACL 2024 Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation NeurIPS 2024 Advancing Large Language Model Attribution through Self-Improving EMNLP 2024 Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning IJCAI 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NeurIPS 2024 A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 A Generative Model of Symmetry Transformations NeurIPS 2024 Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models COLING 2024 A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation ICLR 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 AI-Olympics: Exploring the Generalization of Agents through Open Competitions IJCAI 2024 AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding EMNLP 2024 A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024 Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation WACV 2024 Alignment at Pre-training! Towards Native Alignment for Arabic LLMs NeurIPS 2024 All Ears: Building Self-Supervised Learning based ASR models for Indian Languages at scale Interspeech 2024 Alleviating Exposure Bias in Abstractive Summarization via Sequentially Generating and Revising COLING 2024 Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence IJCAI 2024 All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness SemEval 2024 AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization AAAI 2024 A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality COLING 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NeurIPS 2024 An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024