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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)

Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism AAAI 2023 Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023 Causal interventions expose implicit situation models for commonsense language understanding ACL 2023 Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023 Causality-aware Concept Extraction based on Knowledge-guided Prompting ACL 2023 Causality Compensated Attention for Contextual Biased Visual Recognition ICLR 2023 Causal Learning through Deliberate Undersampling CLeaR 2023 Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction CVPR 2023 Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023 Causal Matrix Completion COLT 2023 Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023 Causal Models with Constraints CLeaR 2023 Causal normalizing flows: from theory to practice NeurIPS 2023 Causal Proxy Models for Concept-based Model Explanations ICML 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 Causal Reasoning of Entities and Events in Procedural Texts EACL 2023 Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering EMNLP 2023 Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023 Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems ICLR 2023 CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation NSDI 2023 Causal Strategic Classification: A Tale of Two Shifts ICML 2023 Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023 Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning CLeaR 2023 Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing NeurIPS 2023 Causes and Cures for Interference in Multilingual Translation ACL 2023