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)

Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 Connected Speech-Based Cognitive Assessment in Chinese and English Interspeech 2024 Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing NAACL 2024 Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations ICML 2024 CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants NAACL 2024 Consent in Crisis: The Rapid Decline of the AI Data Commons NeurIPS 2024 Consistency-guided Prompt Learning for Vision-Language Models ICLR 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024 Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation RSS 2024 Consistency Training by Synthetic Question Generation for Conversational Question Answering ACL 2024 ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation Interspeech 2024 Consistent Document-level Relation Extraction via Counterfactuals EMNLP 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Consistent Joint Decision-Making with Heterogeneous Learning Models EACL 2024 Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024 ConStat: Performance-Based Contamination Detection in Large Language Models NeurIPS 2024 Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NeurIPS 2024 Constrained Diffusion Models via Dual Training NeurIPS 2024 Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation CVPR 2024 Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model NeurIPS 2024 Construction of a Multiple-DOF Underactuated Gripper with Force-Sensing via Deep Learning RSS 2024 Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation CVPR 2024 Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data ICML 2024 Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation NAACL 2024