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
'5
'10
'15
'20
'25
Papers (including subtopics)
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
UAI 2023
Quantifying Memorization Across Neural Language Models
ICLR 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
NeurIPS 2023
Quantifying the Cost of Learning in Queueing Systems
NeurIPS 2023
Quantifying the Dialect Gap and its Correlates Across Languages
EMNLP 2023
Quantifying the redundancy between prosody and text
EMNLP 2023
Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract)
AAAI 2023
Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation
IJCAI 2023
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
AAAI 2023
Quantum Bayesian Optimization
NeurIPS 2023
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
ICML 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
ICML 2023
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
JMLR 2023
QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing
EMNLP 2023
Queer Events, Relationships, and Sports: Does Topic Influence Speakers’ Acoustic Expression of Sexual Orientation?
Interspeech 2023
Query-as-context Pre-training for Dense Passage Retrieval
EMNLP 2023
Query-aware Multi-modal based Ranking Relevance in Video Search
EMNLP 2023
Query Based Acoustic Summarization for Podcasts
Interspeech 2023
Query-based Image Captioning from Multi-context 360cdegree Images
EMNLP 2023
Query-Centric Trajectory Prediction
CVPR 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
ACL 2023
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling
ACL 2023
Query Refinement Prompts for Closed-Book Long-Form QA
ACL 2023
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs
ACL 2023
Question Answering as Programming for Solving Time-Sensitive Questions
EMNLP 2023