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
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'25
Papers (including subtopics)
GlotLID: Language Identification for Low-Resource Languages
EMNLP 2023
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
NeurIPS 2023
GLUECons: A Generic Benchmark for Learning under Constraints
AAAI 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective
ACL 2023
Goal-Conditioned Q-learning as Knowledge Distillation
AAAI 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
AAAI 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
EACL 2023
Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes
EMNLP 2023
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
NeurIPS 2023
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
CVPR 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models
EMNLP 2023
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
ICCV 2023
GPT4All: An Ecosystem of Open Source Compressed Language Models
EMNLP 2023
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
NeurIPS 2023
GPTCache: An Open-Source Semantic Cache for LLM Applications Enabling Faster Answers and Cost Savings
EMNLP 2023
GPTs Don’t Keep Secrets: Searching for Backdoor Watermark Triggers in Autoregressive Language Models
ACL 2023
GPU-accelerated Guided Source Separation for Meeting Transcription
Interspeech 2023
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
CVPR 2023
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
EMNLP 2023
GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation
ACL 2023
Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation
EMNLP 2023
Gradient-based Intra-attention Pruning on Pre-trained Language Models
ACL 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NeurIPS 2023
Gradient-Free Structured Pruning with Unlabeled Data
ICML 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
NeurIPS 2023