Loss Functions
1,220 papers
Papers per year
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Papers
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
EMNLP 2024
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
AAAI 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality
EMNLP 2024
ROUGE-K: Do Your Summaries Have Keywords?
NAACL 2024
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
AAAI 2024
Scaling laws for learning with real and surrogate data
NeurIPS 2024
Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort
NAACL 2024
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
CVPR 2024
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
CVPR 2024
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
AAAI 2024
Sequence Reducible Holdout Loss for Language Model Pretraining
COLING 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
CVPR 2024
Soft metrics for evaluation with disagreements: an assessment
COLING 2024
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
CVPR 2024
Speech dereverberation constrained on room impulse response characteristics
Interspeech 2024
ST$_k$: A Scalable Module for Solving Top-k Problems
NeurIPS 2024
Suppressing Uncertainty in Gaze Estimation
AAAI 2024
Surrogate Bayesian Networks for Approximating Evolutionary Games
AISTATS 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning
AAAI 2024
SYSTRAN @ WMT24 Non-Repetitive Translation Task
EMNLP 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
AISTATS 2024
The Role of n-gram Smoothing in the Age of Neural Networks
NAACL 2024
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
ICLR 2024
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
ACL 2024