conftrace_

information bottleneck

295 papers

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IB

Co-occurring keywords · papers mentioning both

representation learning (60) mutual information (59) variational inference (43) graph neural network (25) adversarial robustness (17) self-supervised learning (15) neural network (15) reinforcement learning (13) disentangled representation (12) knowledge distillation (11)

Papers

Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024 Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection AAAI 2024 Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024 Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024 Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics ICML 2024 InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment COLING 2024 Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression ICLR 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 Information Retention via Learning Supplemental Features ICLR 2024 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling NeurIPS 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024 Learning diverse causally emergent representations from time series data NeurIPS 2024 Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck AAAI 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 Learning High-Order Relationships of Brain Regions ICML 2024 Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024 Learning Real-World Image De-weathering with Imperfect Supervision AAAI 2024 Learning to Maximize Mutual Information for Chain-of-Thought Distillation ACL 2024 Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning ICLR 2024 On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024 Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts COLING 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024 Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization Interspeech 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction ICLR 2024