Classification

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms ICLR 2024 Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually AAAI 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 IMGTB: A Framework for Machine-Generated Text Detection Benchmarking ACL 2024 Implicit Bias of Mirror Flow on Separable Data NeurIPS 2024 Implicit Optimization Bias of Next-token Prediction in Linear Models NeurIPS 2024 Improved Hardness Results for Learning Intersections of Halfspaces COLT 2024 Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification COLING 2024 Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024 Improved Sample Complexity for Multiclass PAC Learning NeurIPS 2024 Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification NAACL 2024 Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024 Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training ICML 2024 Improving Distinguishability of Class for Graph Neural Networks AAAI 2024 Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference ICML 2024 Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios MIDL 2024 Improving Legal Judgement Prediction in Romanian with Long Text Encoders COLING 2024 Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings NAACL 2024 Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence EMNLP 2024 Improving Neural Network Surface Processing with Principal Curvatures NeurIPS 2024 Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining ICML 2024 Improving Readability Assessment with Ordinal Log-Loss NAACL 2024 Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training COLING 2024 Improving robustness to corruptions with multiplicative weight perturbations NeurIPS 2024 Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML 2024