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)

QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos NeurIPS 2024 QUEEREOTYPES: A Multi-Source Italian Corpus of Stereotypes towards LGBTQIA+ Community Members COLING 2024 Query-driven Relevant Paragraph Extraction from Legal Judgments COLING 2024 QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration NAACL 2024 Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model CVPR 2024 Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization EMNLP 2024 QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware EMNLP 2024 Question Aware Vision Transformer for Multimodal Reasoning CVPR 2024 Questioning the Survey Responses of Large Language Models NeurIPS 2024 QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference ICML 2024 Queuing dynamics of asynchronous Federated Learning AISTATS 2024 QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract) AAAI 2024 Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How ICLR 2024 QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models NSDI 2024 QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models EMNLP 2024 Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024 QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks ICML 2024 ‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews EMNLP 2024 QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis EMNLP 2024 Quite Good, but Not Enough: Nationality Bias in Large Language Models - a Case Study of ChatGPT COLING 2024 QuRating: Selecting High-Quality Data for Training Language Models ICML 2024 Q-VLM: Post-training Quantization for Large Vision-Language Models NeurIPS 2024 RA2FD: Distilling Faithfulness into Efficient Dialogue Systems EMNLP 2024 RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews EMNLP 2024 RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features CVPR 2024