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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330

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1,020

1,828

2,498

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3,854

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6,422

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1,666

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Papers (including subtopics)

Sprout: Green Generative AI with Carbon-Efficient LLM Inference EMNLP 2024 Spurious Feature Diversification Improves Out-of-distribution Generalization ICLR 2024 SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection ACL 2024 SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models EMNLP 2024 SqueezeLLM: Dense-and-Sparse Quantization ICML 2024 SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024 SRCB at #SMM4H 2024: Making Full Use of LLM-based Data Augmentation in Adverse Drug Event Extraction and Normalization ACL 2024 SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NeurIPS 2024 SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation NeurIPS 2024 SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning ECCV 2024 SSN-Nova@LT-EDI 2024: POS Tagging, Boosting Techniques and Voting Classifiers for Caste And Migration Hate Speech Detection EACL 2024 SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation CVPR 2024 S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NeurIPS 2024 Stability Evaluation through Distributional Perturbation Analysis ICML 2024 Stable modular control via contraction theory for reinforcement learning L4DC 2024 Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation CVPR 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024 StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024 Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training NeurIPS 2024 StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation ICML 2024 STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios COLING 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 STAGE: Simple Text Data Augmentation by Graph Exploration COLING 2024 STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay ECCV 2024