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)
Proportional allocation of indivisible resources under ordinal and uncertain preferences.
UAI 2022
Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination
AAAI 2022
Propositional Gossip Protocols under Fair Schedulers
IJCAI 2022
ProQA: Structural Prompt-based Pre-training for Unified Question Answering
NAACL 2022
ProsocialDialog: A Prosocial Backbone for Conversational Agents
EMNLP 2022
Prosodic alignment for off-screen automatic dubbing
Interspeech 2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
ICLR 2022
Protecting Celebrities From DeepFake With Identity Consistency Transformer
CVPR 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
CVPR 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
AAAI 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
Proto2Proto: Can You Recognize the Car, the Way I Do?
CVPR 2022
ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract)
IJCAI 2022
ProtoBandit: Efficient Prototype Selection via
Multi-Armed Bandits
ACML 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors
ACL 2022
Prototype Based Classification from Hierarchy to Fairness
ICML 2022
Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
AAAI 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
NeurIPS 2022
Provable Defense against Backdoor Policies in Reinforcement Learning
NeurIPS 2022
Provable Guarantees for Understanding Out-of-Distribution Detection
AAAI 2022
Provable Reinforcement Learning with a Short-Term Memory
ICML 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
NeurIPS 2022
Provably Confidential Language Modelling
NAACL 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
ICLR 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
NeurIPS 2022