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)

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models EMNLP 2025 Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025 Unlocking the Potential of Model Calibration in Federated Learning ICLR 2025 Unlocking the Potential of Reverse Distillation for Anomaly Detection AAAI 2025 Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization CVPR 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios NAACL 2025 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI ICCV 2025 Unsupervised Concept Vector Extraction for Bias Control in LLMs EMNLP 2025 Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025 Unsupervised Domain Adaptive Person Search via Dual Self-Calibration AAAI 2025 Unsupervised Domain Adaptive Visual Question Answering in the Era of Multi-Modal Large Language Models WACV 2025 Unsupervised Sustainability Report Labeling based on the integration of the GRI and SDG standards ACL 2025 Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models ACL 2025 Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors ICML 2025 Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis COLING 2025 Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View ACL 2025 Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency EMNLP 2025 Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective COLING 2025 Unveiling Privacy Risks in LLM Agent Memory ACL 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning ACL 2025 Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward ACL 2025 Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025