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)

p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay ICCV 2025 pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation ICLR 2025 PNVC: Towards Practical INR-based Video Compression AAAI 2025 PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model AAAI 2025 PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning CVPR 2025 PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning AAAI 2025 POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion EMNLP 2025 Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting CVPR 2025 PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models NAACL 2025 Poison-splat: Computation Cost Attack on 3D Gaussian Splatting ICLR 2025 PolBiX: Detecting LLMs’ Political Bias in Fact-Checking through X-phemisms EMNLP 2025 Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning ICML 2025 Political Bias Prediction Models Focus on Source Cues, Not Semantics AAAI 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025 polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design EMNLP 2025 PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech EMNLP 2025 PoolAtnRes: Towards Generalisable Differential Morphing Attack Detection WACV 2025 PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment ACL 2025 POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025 Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters AAAI 2025 Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models ICML 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025 PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches ICLR 2025 PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data ICCV 2025 Position: AI Scaling: From Up to Down and Out ICML 2025