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)

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Papers (including subtopics)

Knowledge Generation for Zero-shot Knowledge-based VQA EACL 2024 Knowledge Graph-Enhanced Large Language Models via Path Selection ACL 2024 Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models ACL 2024 Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks Interspeech 2024 KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024 Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models ICML 2024 Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024 Known Knowns and Unknowns: Near-realtime Earth Observation Via Query Bifurcation in Serval NSDI 2024 KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NeurIPS 2024 KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation EMNLP 2024 KpopMT: Translation Dataset with Terminology for Kpop Fandom ACL 2024 Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference NeurIPS 2024 KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization IJCAI 2024 KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ACL 2024 KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024 KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NeurIPS 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming ICLR 2024 L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models EMNLP 2024 LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection CVPR 2024 Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ICLR 2024 Label Alignment Regularization for Distribution Shift JMLR 2024 Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024 Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data WACV 2024 Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024