Deep Learning

Swift Sampler: Efficient Learning of Sampler by 10 Parameters NeurIPS 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs NeurIPS 2024 Test-Time Dynamic Image Fusion NeurIPS 2024 TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 The Road Less Scheduled NeurIPS 2024 The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications EACL 2024 “Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024 Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Tokenization Is More Than Compression EMNLP 2024 Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024 Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024 Towards a Resilient Intelligent Automation System IJCAI 2024 Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024 Towards Editing Time Series NeurIPS 2024 Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NeurIPS 2024 Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network CVPR 2024 Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024 Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models EACL 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024