Self-Supervised Learning

ABM: Attention before Manipulation IJCAI 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024 A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024 Accelerating Augmentation Invariance Pretraining NeurIPS 2024 Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation NeurIPS 2024 ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NeurIPS 2024 Achieving Human Parity in Content-Grounded Datasets Generation ICLR 2024 A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection Interspeech 2024 A Comprehensive Augmentation Framework for Anomaly Detection AAAI 2024 A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification MIDL 2024 A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech Interspeech 2024 ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NeurIPS 2024 Active Perception for Grasp Detection via Neural Graspness Field NeurIPS 2024 Active Prompting with Chain-of-Thought for Large Language Models ACL 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering AAAI 2024 Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024 Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation COLING 2024 Adaptive Self-training Framework for Fine-grained Scene Graph Generation ICLR 2024 A Dataset for Multi-Scale Film Rating Inference from Reviews COLING 2024 A decoder-only foundation model for time-series forecasting ICML 2024 A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024 A differentiable first-order rule learner for inductive logic programming (Abstract Reprint) IJCAI 2024 A distributional simplicity bias in the learning dynamics of transformers NeurIPS 2024