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)

Divide and Conquer: Hybrid Pre-training for Person Search AAAI 2024 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models EMNLP 2024 Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset ICML 2024 Diving Segmentation Model into Pixels ICLR 2024 DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness SemEval 2024 DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision CVPR 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving OSDI 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 DLUT and GTCOM’s Neural Machine Translation Systems for WMT24 EMNLP 2024 DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction AAAI 2024 DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection NeurIPS 2024 DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024 DMTG: One-Shot Differentiable Multi-Task Grouping ICML 2024 DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024 Do causal predictors generalize better to new domains? NeurIPS 2024 DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models EMNLP 2024 DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering NAACL 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NeurIPS 2024 Documenting the Unwritten Curriculum of Student Research ACL 2024 Dodo: Dynamic Contextual Compression for Decoder-only LMs ACL 2024 DoDo Learning: Domain-Demographic Transfer in Language Models for Detecting Abuse Targeted at Public Figures COLING 2024 Do Efficient Transformers Really Save Computation? ICML 2024