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conftrace_

loss function

515 papers

Papers

More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024 No Dimensional Sampling Coresets for Classification ICML 2024 OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SemEval 2024 On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024 On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024 On the Independence Assumption in Neurosymbolic Learning ICML 2024 On the Origins of Linear Representations in Large Language Models ICML 2024 On the Unstable Convergence Regime of Gradient Descent AAAI 2024 On Using Admissible Bounds for Learning Forward Search Heuristics IJCAI 2024 Ordinal Classification With Distance Regularization for Robust Brain Age Prediction WACV 2024 Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks UAI 2024 Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function Interspeech 2024 Rethinking Loss Functions for Fact Verification EACL 2024 Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024 Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers AAAI 2024 Score Distillation Sampling with Learned Manifold Corrective ECCV 2024 Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction IJCAI 2024 Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024 Soft ascent-descent as a stable and flexible alternative to flooding NeurIPS 2024 Symmetry Induces Structure and Constraint of Learning ICML 2024 The GAN is dead; long live the GAN! A Modern GAN Baseline NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 Towards Calibrated Multi-label Deep Neural Networks CVPR 2024 Uncertainty-Aware GAN for Single Image Super Resolution AAAI 2024 Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024