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loss function

515 papers

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Co-occurring keywords · papers mentioning both

neural network (37) neural network optimization (29) object detection (28) deep neural network (27) semantic segmentation (26) convolutional neural network (25) class imbalance (25) gradient descent (24) multi-label classification (22) deep learning (20)

Papers

TASAR: Transfer-based Attack on Skeletal Action Recognition ICLR 2025 Temporal Convolutional Network with Smoothed and Weighted Losses for Distant Voice Activity and Overlapped Speech Detection Interspeech 2025 Tile-wise vs. Image-wise: Random-Tile Loss and Training Paradigm for Gaussian Splatting ICCV 2025 TopoNets: High performing vision and language models with brain-like topography ICLR 2025 Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning AAAI 2025 Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025 WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition AAAI 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 A Computation-Aware Shape Loss Function for Point Cloud Completion AAAI 2024 Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss EMNLP 2024 Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms ICML 2024 A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024 Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024 Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024 Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding IJCAI 2024 Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning EMNLP 2024 Can Modelling Inter-Rater Ambiguity Lead To Noise-Robust Continuous Emotion Predictions? Interspeech 2024 Cardinality-Aware Set Prediction and Top-k Classification NeurIPS 2024 ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications OSDI 2024 Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation COLT 2024 Conformal Risk Control ICLR 2024 Data subsampling for Poisson regression with pth-root-link NeurIPS 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems ICML 2024