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Loss Functions

1,220 papers

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Papers

Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025 LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data SemEval 2025 Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection ACL 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning EMNLP 2025 Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition EMNLP 2025 Learning to Substitute Words with Model-based Score Ranking NAACL 2025 Learning under Temporal Label Noise ICLR 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback ACL 2025 Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025 Loss Functions for Predictor-based Neural Architecture Search ICCV 2025 LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo EMNLP 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences ICLR 2025 MR. Judge: Multimodal Reasoner as a Judge EMNLP 2025 NITK-VITAL at SemEval-2025 Task 11: Focal-RoBERTa: Addressing Class Imbalance in Multi-Label Emotion Classification SemEval 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents ICLR 2025 PossLoss: A Reliable and Sensitive Facial Landmark Detection Loss Function ICCV 2025 Post-hoc Reward Calibration: A Case Study on Length Bias ICLR 2025 Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora NAACL 2025 Proper losses regret at least 1/2-order JMLR 2025 Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization ICLR 2025 Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount ICLR 2025