conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024 ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning CoRL 2024 Removing Biases from Molecular Representations via Information Maximization ICLR 2024 Renovating Names in Open-Vocabulary Segmentation Benchmarks NeurIPS 2024 RepCNN: Micro-sized, Mighty Models for Wakeword Detection Interspeech 2024 Repeated Fair Allocation of Indivisible Items AAAI 2024 Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning ICLR 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 Replace, Paraphrase or Fine-tune? Evaluating Automatic Simplification for Medical Texts in Spanish COLING 2024 Repoformer: Selective Retrieval for Repository-Level Code Completion ICML 2024 Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024 Representation and Generation of Machine Learning Test Functions EACL 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NeurIPS 2024 REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024 Repurformer: Transformers for Repurposing-Aware Molecule Generation ACL 2024 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NeurIPS 2024 REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models NAACL 2024 ResAD: A Simple Framework for Class Generalizable Anomaly Detection NeurIPS 2024 Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024 Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast ICML 2024 Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems ICML 2024 Reshape Dimensions Network for Speaker Recognition Interspeech 2024 Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation ECCV 2024 Residual Dropout: A Simple Approach to Improve Transformer’s Data Efficiency COLING 2024 ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation ICLR 2024