Loss Functions

Towards Calibrated Multi-label Deep Neural Networks CVPR 2024 Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification NeurIPS 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Uncertainty-Aware GAN for Single Image Super Resolution AAAI 2024 Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024 Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024 Unified Binary and Multiclass Margin-Based Classification JMLR 2024 Weight-Sharing Regularization AISTATS 2024 Wormhole Loss for Partial Shape Matching NeurIPS 2024 Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns ACL 2024 H-Consistency Bounds for Pairwise Misranking Loss Surrogates ICML 2023 ACLS: Adaptive and Conditional Label Smoothing for Network Calibration ICCV 2023 Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization IJCAI 2023 Active Negative Loss Functions for Learning with Noisy Labels NeurIPS 2023 Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning ACML 2023 Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring ACL 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 A step towards understanding why classification helps regression ICCV 2023 Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023 Avoiding spurious correlations via logit correction ICLR 2023 Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023 Balancing Lexical and Semantic Quality in Abstractive Summarization ACL 2023 Beyond calibration: estimating the grouping loss of modern neural networks ICLR 2023 Beyond probability partitions: Calibrating neural networks with semantic aware grouping NeurIPS 2023 Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023