Deep Learning

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects NeurIPS 2024 Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024 Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation AAAI 2024 Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models IJCAI 2024 Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards EMNLP 2024 Beyond the Surface: Spurious Cues in Automatic Media Bias Detection EACL 2024 Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation ACL 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024 Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles AAAI 2024 Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders ICLR 2024 BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation IJCAI 2024 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness ICLR 2024 Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning ICML 2024 Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs CVPR 2024 BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs EMNLP 2024 Bias and Diversity in Synthetic-Based Face Recognition WACV 2024 Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning UAI 2024 Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video AAAI 2024 BiasDora: Exploring Hidden Biased Associations in Vision-Language Models EMNLP 2024 BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization ACL 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ICLR 2024 Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NeurIPS 2024 Bias in News Summarization: Measures, Pitfalls and Corpora ACL 2024 Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining ACL 2024