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)

Training-Free Long-Context Scaling of Large Language Models ICML 2024 Training-free Multi-objective Diffusion Model for 3D Molecule Generation ICLR 2024 Training-Free Pretrained Model Merging CVPR 2024 Training speech-breathing coordination in computer-assisted reading Interspeech 2024 Training Unbiased Diffusion Models From Biased Dataset ICLR 2024 Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation MIDL 2024 Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation EMNLP 2024 TRAM: Bridging Trust Regions and Sharpness Aware Minimization ICLR 2024 TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration NeurIPS 2024 Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024 Transferable and Principled Efficiency for Open-Vocabulary Segmentation CVPR 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation ICML 2024 Transfer CLIP for Generalizable Image Denoising CVPR 2024 TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling EMNLP 2024 Transfer Learning for Diffusion Models NeurIPS 2024 Transfer Learning for Text Classification via Model Risk Analysis EMNLP 2024 Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction IJCAI 2024 Transferring disentangled representations: bridging the gap between synthetic and real images NeurIPS 2024 Transferring Fairness using Multi-Task Learning with Limited Demographic Information EMNLP 2024 Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets ICLR 2024 Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization NeurIPS 2024 Transformer as Linear Expansion of Learngene AAAI 2024 Transformer Fusion with Optimal Transport ICLR 2024 Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality ICML 2024