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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)

An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions MLHC 2020 A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning AAAI 2020 A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories AAAI 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 A New Perspective on Learning Context-Specific Independence PGM 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP 2020 An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch NeurIPS 2020 An Imitation Game for Learning Semantic Parsers from User Interaction EMNLP 2020 An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction EMNLP 2020 An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020 An information theoretic view on selecting linguistic probes EMNLP 2020 An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System Interspeech 2020 An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins IJCAI 2020 An Interactive Visualization Platform for Deep Symbolic Regression IJCAI 2020 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 An Investigation of Why Overparameterization Exacerbates Spurious Correlations ICML 2020 An Iterative Emotion Interaction Network for Emotion Recognition in Conversations COLING 2020 An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation AAAI 2020 Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing ACL 2020 A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement Interspeech 2020 An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020 An Operational Semantics for True Concurrency in BDI Agent Systems AAAI 2020 A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances NeurIPS 2020 A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020