classification task

Learning by Interpreting IJCAI 2022 On the Benefits of Large Learning Rates for Kernel Methods COLT 2022 On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features ICML 2022 Optimizing Data Collection for Machine Learning NeurIPS 2022 Revisiting Consistency Regularization for Deep Partial Label Learning ICML 2022 Automated coherence measures fail to index thought disorder in individuals at risk for psychosis NAACL 2021 Comparing Text Representations: A Theory-Driven Approach EMNLP 2021 EVALUATION OF NEURAL ARCHITECTURES TRAINED WITH SQUARE LOSS VS CROSS-ENTROPY IN CLASSIFICATION TASKS ICLR 2021 Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems NAACL 2021 Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data NeurIPS 2021 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NeurIPS 2021 3D Volumetric Modeling with Introspective Neural Networks AAAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NeurIPS 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 SGD on Neural Networks Learns Functions of Increasing Complexity NeurIPS 2019 Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff AAAI 2019 Behavior of Analogical Inference w.r.t. Boolean Functions IJCAI 2018 Functional Gradient Boosting based on Residual Network Perception ICML 2018 If you’ve seen some, you’ve seen them all: Identifying variants of multiword expressions COLING 2018 Mean-field theory of graph neural networks in graph partitioning NeurIPS 2018 Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation IJCAI 2017 PP Attachment: Where do We Stand? EACL 2017 Human Boosting ICML 2013 Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013