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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Weak-to-Strong 3D Object Detection with X-Ray Distillation CVPR 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024 Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency ICLR 2024 WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark NeurIPS 2024 WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models ACL 2024 We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models ACL 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments NeurIPS 2024 Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition Interspeech 2024 Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SemEval 2024 Weight-Inherited Distillation for Task-Agnostic BERT Compression NAACL 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 Weisfeiler Leman for Euclidean Equivariant Machine Learning ICML 2024 WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions EMNLP 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking NeurIPS 2024 What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction ACL 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ICLR 2024 What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark Interspeech 2024 What Does Perspectivism Mean? An Ethical and Methodological Countercriticism COLING 2024 What explains the success of cross-modal fine-tuning with ORCA? NAACL 2024 What Happens to a Dataset Transformed by a Projection-based Concept Removal Method? COLING 2024 What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024 What How and When Should Object Detectors Update in Continually Changing Test Domains? CVPR 2024 WhatIf: Leveraging Word Vectors for Small-Scale Data Augmentation CoNLL 2024 What If the Input is Expanded in OOD Detection? NeurIPS 2024 What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations EMNLP 2024