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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35

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142

116

147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

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Papers (including subtopics)

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations ICML 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NeurIPS 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024 Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024 COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems AAAI 2024 Combining Acoustic Feature Sets for Detecting Mild Cognitive Impairment in the Interspeech'24 TAUKADIAL Challenge Interspeech 2024 Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation EACL 2024 Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types AAAI 2024 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification AAAI 2024 Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management AAAI 2024 Combining model-based controller and ML advice via convex reparameterization L4DC 2024 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 COMMA: Co-articulated Multi-Modal Learning AAAI 2024 Communication Efficient Distributed Training with Distributed Lion NeurIPS 2024 CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024 Compact Language Models via Pruning and Knowledge Distillation NeurIPS 2024 Compact Speech Translation Models via Discrete Speech Units Pretraining ACL 2024 Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems ACL 2024 Comparing Kaldi-Based Pipeline Elpis and Whisper for Čakavian Transcription ACL 2024 Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy MIDL 2024 Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024