conftrace_

loss function

462 papers

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Co-occurring keywords

neural network (6616) deep neural network (1803) object detection (2762) neural network optimization (1293) class imbalance (555) convolutional neural network (4226) semantic segmentation (3186) multi-label classification (1009) deep learning (2118) gradient descent (1144)

Papers

Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024
Learning with Fitzpatrick Losses NIPS 2024
How to Boost Any Loss Function NIPS 2024
Improving Fairness in Deepfake Detection WACV 2024
Latent-Guided Exemplar-Based Image Re-Colorization WACV 2024
Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SEMEVAL 2024
The Implicit Bias of Gradient Descent on Separable Multiclass Data NIPS 2024
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding IJCAI 2024
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024
Spike Count Maximization for Neuromorphic Vision Recognition IJCAI 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023
Correlation Loss: Enforcing Correlation between Classification and Localization AAAI 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice ICML 2023
Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023
A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer INTERSPEECH 2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023
Embeddings at BLP-2023 Task 2: Optimizing Fine-Tuned Transformers with Cost-Sensitive Learning for Multiclass Sentiment Analysis EMNLP 2023
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution CVPR 2023
Mitigating Framing Bias with Polarity Minimization Loss EMNLP 2023