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)
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
NeurIPS 2023
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models
EMNLP 2023
The Cambridge Law Corpus: A Dataset for Legal AI Research
NeurIPS 2023
The case for 4-bit precision: k-bit Inference Scaling Laws
ICML 2023
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
NeurIPS 2023
The Complexity of Markov Equilibrium in Stochastic Games
COLT 2023
The Computational Complexity of Single-Player Imperfect-Recall Games
IJCAI 2023
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
WACV 2023
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models
EMNLP 2023
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering
ACL 2023
The Dark Side of AutoML: Towards Architectural Backdoor Search
ICLR 2023
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
CVPR 2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
ACL 2023
The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection
CVPR 2023
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks
IJCAI 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
ICML 2023
The d-Separation Criterion in Categorical Probability
JMLR 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
AAAI 2023
The Effect of Preferences in Abstract Argumentation under a Claim-Centric View
AAAI 2023
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models
EMNLP 2023
The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets
IJCAI 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
CVPR 2023
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
NeurIPS 2023
The Expressive Power of Ad-Hoc Constraints for Modelling CSPs
AAAI 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment
EMNLP 2023