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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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)

Learning Real-World Image De-weathering with Imperfect Supervision AAAI 2024 Learning rigid-body simulators over implicit shapes for large-scale scenes and vision NeurIPS 2024 Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation IJCAI 2024 Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech Interspeech 2024 Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling ICLR 2024 Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain COLING 2024 Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation AAAI 2024 Learning to Act from Actionless Videos through Dense Correspondences ICLR 2024 Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NeurIPS 2024 Learning to Compile Programs to Neural Networks ICML 2024 Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024 Learning to Compress Prompt in Natural Language Formats NAACL 2024 Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation WACV 2024 Learning to Extract Structured Entities Using Language Models EMNLP 2024 Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024 Learning to Intervene on Concept Bottlenecks ICML 2024 Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers NeurIPS 2024 Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality NeurIPS 2024 Learning to Read Analog Gauges from Synthetic Data WACV 2024 Learning to Reject Meets Long-tail Learning ICLR 2024 Learning to Remove Wrinkled Transparent Film with Polarized Prior CVPR 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 Learning to Route Among Specialized Experts for Zero-Shot Generalization ICML 2024 Learning to Select Views for Efficient Multi-View Understanding CVPR 2024 Learning to Transform Dynamically for Better Adversarial Transferability CVPR 2024