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

1

3

5

5

4

19

24

28

26

35

42

55

142

116

147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024 MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning EMNLP 2024 MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection ECCV 2024 MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NeurIPS 2024 MoExtend: Tuning New Experts for Modality and Task Extension ACL 2024 MOFI: Learning Image Representations from Noisy Entity Annotated Images ICLR 2024 MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability NeurIPS 2024 MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision CVPR 2024 MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence ICML 2024 MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts AAAI 2024 Monitoring Hate Speech in Indonesia: An NLP-based Classification of Social Media Texts EMNLP 2024 Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024 Monoculture in Matching Markets NeurIPS 2024 MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures OSDI 2024 Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric CVPR 2024 More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms ICML 2024 More is Better: Deep Domain Adaptation with Multiple Sources IJCAI 2024 More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024 Morphological Synthesizer for Ge’ez Language: Addressing Morphological Complexity and Resource Limitations COLING 2024 MOSEL: Inference Serving Using Dynamic Modality Selection EMNLP 2024 Most Influential Subset Selection: Challenges, Promises, and Beyond NeurIPS 2024 MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search NeurIPS 2024 MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer NeurIPS 2024