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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

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

Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations RSS 2020 Explaining the Explainer: A First Theoretical Analysis of LIME AISTATS 2020 Explaining Word Embeddings via Disentangled Representation AACL 2020 Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution ICLR 2020 Explanation by Progressive Exaggeration ICLR 2020 Explanation Perspectives from the Cognitive Sciences---A Survey IJCAI 2020 Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base COLING 2020 Explanations for Inconsistency-Tolerant Query Answering under Existential Rules AAAI 2020 Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA AAAI 2020 Explicit Gradient Learning for Black-Box Optimization ICML 2020 Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ACL 2020 Explicit Semantic Decomposition for Definition Generation ACL 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition Interspeech 2020 Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach ACL 2020 Exploration Analysis in Finite-Horizon Turn-based Stochastic Games UAI 2020 Exploration Based Language Learning for Text-Based Games IJCAI 2020 Exploration in Reinforcement Learning with Deep Covering Options ICLR 2020 Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020 Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning ICLR 2020 Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract) AAAI 2020 Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection CVPR 2020 Exploring Contextualized Neural Language Models for Temporal Dependency Parsing EMNLP 2020 Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer ACL 2020 Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020