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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)

Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021 Interpreting Neural Networks as Quantitative Argumentation Frameworks AAAI 2021 Interpreting Representation Quality of DNNs for 3D Point Cloud Processing NeurIPS 2021 Interpreting Text Classifiers by Learning Context-sensitive Influence of Words NAACL 2021 INTERSPEECH 2021 Deep Noise Suppression Challenge Interspeech 2021 Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NeurIPS 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 Intervention Efficient Algorithms for Approximate Learning of Causal Graphs ALT 2021 Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education EACL 2021 Intrinsically Interlingual: The Wn Python Library for Wordnets EACL 2021 Intrinsic Bias Metrics Do Not Correlate with Application Bias ACL 2021 Introducing Orthogonal Constraint in Structural Probes ACL 2021 Introduction to Machine Learning with Robots and Playful Learning AAAI 2021 Introvert: Human Trajectory Prediction via Conditional 3D Attention CVPR 2021 Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NeurIPS 2021 Invariant representation learning for treatment effect estimation UAI 2021 Inverse Constrained Reinforcement Learning ICML 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System NeurIPS 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NeurIPS 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Inverse Reinforcement Learning with Natural Language Goals AAAI 2021 Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control CVPR 2021 Inverse-Weighted Survival Games NeurIPS 2021