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

2,498

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6,422

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Papers (including subtopics)

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window NAACL 2024 SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics NAACL 2024 SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow ECCV 2024 SlimSAM: 0.1% Data Makes Segment Anything Slim NeurIPS 2024 SLiM: Speculative Decoding with Hypothesis Reduction NAACL 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter ICML 2024 SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers CVPR 2024 SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark NeurIPS 2024 Small But Funny: A Feedback-Driven Approach to Humor Distillation ACL 2024 Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification COLING 2024 Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs ACL 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NeurIPS 2024 SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration EMNLP 2024 SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction CVPR 2024 SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NeurIPS 2024 SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024 Sm: enhanced localization in Multiple Instance Learning for medical imaging classification NeurIPS 2024 SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support EMNLP 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024 Smoothness Adaptive Hypothesis Transfer Learning ICML 2024 SnapKV: LLM Knows What You are Looking for Before Generation NeurIPS 2024 SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation CVPR 2024 SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection CVPR 2024