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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Case-based reasoning for better generalization in textual reinforcement learning ICLR 2022 [CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022 CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection CVPR 2022 CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure EMNLP 2022 CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CoRL 2022 Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models CoNLL 2022 Causal Bandits without prior knowledge using separating sets CLeaR 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning CLeaR 2022 Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022 Causal Contextual Bandits with Targeted Interventions ICLR 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Causal Discovery for Linear Mixed Data CLeaR 2022 Causal Discovery in Hawkes Processes by Minimum Description Length AAAI 2022 Causal Discovery in Linear Latent Variable Models Subject to Measurement Error NeurIPS 2022 Causal Discovery in Linear Structural Causal Models with Deterministic Relations CLeaR 2022 Causal discovery under a confounder blanket UAI 2022 Causal Distillation for Language Models NAACL 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Causal Effect Identification with Context-specific Independence Relations of Control Variables AISTATS 2022 Causal Explanations and XAI CLeaR 2022 Causal forecasting: generalization bounds for autoregressive models UAI 2022 CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting AAAI 2022 Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness NeurIPS 2022 Causal Imitation Learning under Temporally Correlated Noise ICML 2022 Causal Imputation via Synthetic Interventions CLeaR 2022