Loss Functions

TopoNets: High performing vision and language models with brain-like topography ICLR 2025 Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It ICLR 2025 Training Deep Neural Networks with Virtual Smoothing Classes AAAI 2025 Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025 Uncertainty Weighted Gradients for Model Calibration CVPR 2025 VSRM: A Robust Mamba-Based Framework for Video Super-Resolution ICCV 2025 WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition AAAI 2025 What is Wrong with Perplexity for Long-context Language Modeling? ICLR 2025 When Attention Sink Emerges in Language Models: An Empirical View ICLR 2025 YNU-HPCC at SemEval-2025 Task 10: A Two-Stage Approach to Solving Multi-Label and Multi-Class Role Classification Based on DeBERTa SemEval 2025 YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization SemEval 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 A Computation-Aware Shape Loss Function for Point Cloud Completion AAAI 2024 Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching CVPR 2024 An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models NeurIPS 2024 A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration NeurIPS 2024 A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024 ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods WACV 2024 AttributionBench: How Hard is Automatic Attribution Evaluation? ACL 2024 Balanced-Wav2Vec: Enhancing Stability and Robustness of Representation Learning Through Sample Reweighting Techniques Interspeech 2024 Balancing Act: Distribution-Guided Debiasing in Diffusion Models CVPR 2024 Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks ICLR 2024 Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning EMNLP 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SemEval 2024 Boosting CTC-based ASR using inter-layer attention-based CTC loss Interspeech 2024