Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Data Augmentations for Improved (Large) Language Model Generalization
NeurIPS 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
AISTATS 2023
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Data Curation Alone Can Stabilize In-context Learning
ACL 2023
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System
AAAI 2023
Data-driven memory-dependent abstractions of dynamical systems
L4DC 2023
Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract)
IJCAI 2023
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
ACL 2023
Data-Free Class-Incremental Hand Gesture Recognition
ICCV 2023
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
CVPR 2023
Dataless Knowledge Fusion by Merging Weights of Language Models
ICLR 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
ICML 2023
Data Pruning for Efficient Model Pruning in Neural Machine Translation
EMNLP 2023
Data Selection Curriculum for Abstractive Text Summarization
EMNLP 2023
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond
EMNLP 2023
Data Valuation Without Training of a Model
ICLR 2023
DATE: Domain Adaptive Product Seeker for E-Commerce
CVPR 2023
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
CoRL 2023
DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes
EACL 2023
DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations
WACV 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
ACL 2023
DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer
Interspeech 2023
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
ICLR 2023
D-CIPHER: Discovery of Closed-form Partial Differential Equations
NeurIPS 2023
DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability
SemEval 2023