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)
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
NeurIPS 2024
SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition
Interspeech 2024
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures
Interspeech 2024
SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases
EMNLP 2024
Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques
AAAI 2024
SedarEval: Automated Evaluation using Self-Adaptive Rubrics
EMNLP 2024
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
CVPR 2024
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
EMNLP 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
AAAI 2024
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
ACL 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
EMNLP 2024
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
ICLR 2024
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
EMNLP 2024
Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
ICML 2024
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
CVPR 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
AAAI 2024
Segmenting Watermarked Texts From Language Models
NeurIPS 2024
SEGMENT+: Long Text Processing with Short-Context Language Models
EMNLP 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
NeurIPS 2024
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
AAAI 2024
Select High-quality Synthetic QA Pairs to Augment Training Data in MRC under the Reward Guidance of Generative Language Models
COLING 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
ICML 2024
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
EMNLP 2024