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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Trustworthy Machine Learning under Imperfect Data IJCAI 2024 Truthful High Dimensional Sparse Linear Regression NeurIPS 2024 TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models EMNLP 2024 TSDS: Data Selection for Task-Specific Model Finetuning NeurIPS 2024 TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series NeurIPS 2024 TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation CVPR 2024 TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI SemEval 2024 TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection SemEval 2024 Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images CVPR 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy ICML 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models NeurIPS 2024 Turkish Typo Correction for E-Commerce Search Engines COLING 2024 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data AAAI 2024 Turnstile ℓ_p leverage score sampling with applications ICML 2024 Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024 Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries NAACL 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NeurIPS 2024 Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps EMNLP 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness ICML 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation AAAI 2024 UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework ECCV 2024