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)

Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NeurIPS 2024 Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding Interspeech 2024 A synthetic data approach for domain generalization of NLI models ACL 2024 A Synthetic Dataset for Personal Attribute Inference NeurIPS 2024 A Systematic Analysis on the Temporal Generalization of Language Models in Social Media ACL 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024 A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications OSDI 2024 ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models EMNLP 2024 A Taxonomy for Data Contamination in Large Language Models ACL 2024 A Taxonomy of Challenges to Curating Fair Datasets NeurIPS 2024 A teacher-teacher framework for clinical language representation learning NeurIPS 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 ATLAS: A System for PDF-centric Human Interaction Data Collection NAACL 2024 Atomic Self-Consistency for Better Long Form Generations EMNLP 2024 A Toolbox for Modelling Engagement with Educational Videos AAAI 2024 A toolkit for joint speaker diarization and identification with application to speaker-attributed ASR Interspeech 2024 A Trip Towards Fairness: Bias and De-Biasing in Large Language Models NAACL 2024 ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods WACV 2024 Attack-Aware Noise Calibration for Differential Privacy NeurIPS 2024 Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024 Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning WACV 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning NeurIPS 2024