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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Papers (including subtopics)

Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching ACL 2024 Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024 Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing ICLR 2024 Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics EMNLP 2024 Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024 Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer EMNLP 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024 Mitigating Translationese in Low-resource Languages: The Storyboard Approach COLING 2024 MiTTenS: A Dataset for Evaluating Gender Mistranslation EMNLP 2024 Mixat: A Data Set of Bilingual Emirati-English Speech COLING 2024 Mixed Children/Adult/Childrenized Fine-Tuning for Children’s ASR: How to Reduce Age Mismatch and Speaking Style Mismatch Interspeech 2024 Mixed Distillation Helps Smaller Language Models Reason Better EMNLP 2024 Mixed Fair Division: A Survey AAAI 2024 Mixed Models with Multiple Instance Learning AISTATS 2024 Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024 Mixing and Matching: Combining Independently Trained Translation Model Components EACL 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ICLR 2024 Mixture of LoRA Experts ICLR 2024 Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024 Mixture of Nested Experts: Adaptive Processing of Visual Tokens NeurIPS 2024 Mixture of neural fields for heterogeneous reconstruction in cryo-EM NeurIPS 2024 Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models NeurIPS 2024 Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024