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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)

Interactive Reinforcement Learning for Table Balancing Robot ACL 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NeurIPS 2021 Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules EACL 2021 Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder NAACL 2021 Interpretable Actions: Controlling Experts with Understandable Commands AAAI 2021 Interpretable agent communication from scratch (with a generic visual processor emerging on the side) NeurIPS 2021 Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making ACL 2021 Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes WACV 2021 Interpretable Compositional Convolutional Neural Networks IJCAI 2021 Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network AAAI 2021 Interpretable Image Recognition by Constructing Transparent Embedding Space ICCV 2021 Interpretable Models for Granger Causality Using Self-explaining Neural Networks ICLR 2021 Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines AAAI 2021 Interpretable Random Forests via Rule Extraction AISTATS 2021 Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021 Interpretable Sequence Classification via Discrete Optimization AAAI 2021 Interpretable Social Anchors for Human Trajectory Forecasting in Crowds CVPR 2021 Interpretable Visual Reasoning via Induced Symbolic Space ICCV 2021 InterpreT: An Interactive Visualization Tool for Interpreting Transformers EACL 2021 Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents ICCV 2021 Interpreting and Disentangling Feature Components of Various Complexity from DNNs ICML 2021 Interpreting Attributions and Interactions of Adversarial Attacks ICCV 2021 Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations AAAI 2021 Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking ICLR 2021 Interpreting Knowledge Graph Relation Representation from Word Embeddings ICLR 2021