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)

Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation EACL 2023 Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) AAAI 2023 Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays MIDL 2023 Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models Interspeech 2023 Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only ICCV 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Exploring Safety Supervision for Continual Test-time Domain Adaptation IJCAI 2023 Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text EACL 2023 Exploring Sources of Racial Bias in Automatic Speech Recognition through the Lens of Rhythmic Variation Interspeech 2023 Exploring Stroke-Level Modifications for Scene Text Editing AAAI 2023 Exploring the Benefits of Visual Prompting in Differential Privacy ICCV 2023 Exploring the Boundaries of GPT-4 in Radiology EMNLP 2023 Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing ACL 2023 Exploring the English Accent-independent Features for Speech Emotion Recognition using Filter and Wrapper-based Methods for Feature Selection Interspeech 2023 Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models EMNLP 2023 Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023 Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping ICLR 2023 Exploring the Reasons for Non-generalizability of KBQA systems EACL 2023 Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract) AAAI 2023 Exploring the Sim2Real Gap Using Digital Twins ICCV 2023 Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives AAAI 2023 Exploring Transformers as Compact, Data-efficient Language Models CoNLL 2023 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023 Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NeurIPS 2023 Exploring Zero and Few-shot Techniques for Intent Classification ACL 2023