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

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Papers (including subtopics)

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation IJCAI 2025 Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search EMNLP 2025 Zero-shot Quantization: A Comprehensive Survey IJCAI 2025 Zero-Shot Scene Change Detection AAAI 2025 Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems COLING 2025 Zero-Shot Vision Encoder Grafting via LLM Surrogates ICCV 2025 Zeroth-Order Fine-Tuning of LLMs in Random Subspaces ICCV 2025 zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025 ZFusion: Efficient Deep Compositional Zero-shot Learning for Blind Image Super-Resolution with Generative Diffusion Prior ICCV 2025 Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom Understanding SemEval 2025 zhouyijiang1 at SemEval-2025 Task 11: A Multi-tag Detection Method based on Pre-training Language Models SemEval 2025 ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty COLING 2025 ZipAR: Parallel Autoregressive Image Generation through Spatial Locality ICML 2025 ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SemEval 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs ICLR 2025 ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation AAAI 2025 $C^2M^3$: Cycle-Consistent Multi-Model Merging NeurIPS 2024 D^2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning ICLR 2024 ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition NeurIPS 2024 Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design NeurIPS 2024 Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning NeurIPS 2024 causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery CLeaR 2024 dattri: A Library for Efficient Data Attribution NeurIPS 2024 Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild NeurIPS 2024