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)
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
EMNLP 2023
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
ICCV 2023
SafeConv: Explaining and Correcting Conversational Unsafe Behavior
ACL 2023
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
ICLR 2023
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
NeurIPS 2023
Safe Interactive Autonomy for Multi-Agent Systems
AAAI 2023
Safe Interval Path Planning with Kinodynamic Constraints
AAAI 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
CVPR 2023
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
AAAI 2023
SAFE: Machine Unlearning With Shard Graphs
ICCV 2023
Safe Multi-agent Learning via Trapping Regions
IJCAI 2023
Safe Policy Improvement for POMDPs via Finite-State Controllers
AAAI 2023
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
ICLR 2023
Safe Reinforcement Learning via Probabilistic Logic Shields
IJCAI 2023
Safe Reinforcement Learning via Shielding under Partial Observability
AAAI 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data
AISTATS 2023
Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)
AAAI 2023
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
NeurIPS 2023
Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach
AAAI 2023
Safety Verification and Universal Invariants for Relational Action Bases
IJCAI 2023
Safety Verification of Decision-Tree Policies in Continuous Time
NeurIPS 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
SAGEViz: SchemA GEneration and Visualization
EMNLP 2023
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
EMNLP 2023
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
ACL 2023