Loss Functions
1,220 papers
Papers per year
1
1
3
4
3
5
7
11
11
8
16
18
16
30
59
124
126
157
153
182
124
127
34
'5
'10
'15
'20
'25
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