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
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Papers (including subtopics)
Context-aware Adversarial Attack on Named Entity Recognition
EACL 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
EMNLP 2024
Context-Aware Integration of Language and Visual References for Natural Language Tracking
CVPR 2024
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
AAAI 2024
Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History
EMNLP 2024
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
NeurIPS 2024
ContextCite: Attributing Model Generation to Context
NeurIPS 2024
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
NAACL 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
EMNLP 2024
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
NeurIPS 2024
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
ICML 2024
Context is Environment
ICLR 2024
Contextual Affinity Distillation for Image Anomaly Detection
WACV 2024
Contextual Bandits with Budgeted Information Reveal
AISTATS 2024
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm
Interspeech 2024
Contextual Feature Selection with Conditional Stochastic Gates
ICML 2024
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
ICML 2024
Continual Counting with Gradual Privacy Expiration
NeurIPS 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
Continual Forgetting for Pre-trained Vision Models
CVPR 2024
Continual Learning in the Frequency Domain
NeurIPS 2024
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
ICLR 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation
ACL 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
CVPR 2024