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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'25
Papers (including subtopics)
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers
AAAI 2023
Planning and Learning for Reliable Autonomy in the Open World
AAAI 2023
Planning and Learning with Adaptive Lookahead
AAAI 2023
Planning for Learning Object Properties
AAAI 2023
Planning Goals for Exploration
ICLR 2023
Planning-Oriented Autonomous Driving
CVPR 2023
Planning with Hidden Parameter Polynomial MDPs
AAAI 2023
Planning with Large Language Models for Code Generation
ICLR 2023
Planning with Sequence Models through Iterative Energy Minimization
ICLR 2023
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts
EMNLP 2023
Plausibility Processing in Transformer Language Models: Focusing on the Role of Attention Heads in GPT
EMNLP 2023
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
EACL 2023
Playing the Part of the Sharp Bully: Generating Adversarial Examples for Implicit Hate Speech Detection
ACL 2023
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
ICML 2023
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
ICLR 2023
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
CVPR 2023
Plug-and-Play Document Modules for Pre-trained Models
ACL 2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
ACL 2023
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
NeurIPS 2023
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
EMNLP 2023
PMI-Align: Word Alignment With Point-Wise Mutual Information Without Requiring Parallel Training Data
ACL 2023
PMR: Prototypical Modal Rebalance for Multimodal Learning
CVPR 2023
POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo
CVPR 2023
POE: Process of Elimination for Multiple Choice Reasoning
EMNLP 2023
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
AAAI 2023