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

Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019 Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019 Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks CVPR 2019 Interpretable Cascade Classifiers with Abstention AISTATS 2019 Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Interspeech 2019 Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019 Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning AAAI 2019 Interpretable Question Answering on Knowledge Bases and Text ACL 2019 Interpretable Relevant Emotion Ranking with Event-Driven Attention EMNLP 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Interpreting and Evaluating Neural Network Robustness IJCAI 2019 Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) NeurIPS 2019 Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019 Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019 Interrogating the Explanatory Power of Attention in Neural Machine Translation EMNLP 2019 Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ACL 2019 InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019 Interval timing in deep reinforcement learning agents NeurIPS 2019 Intervening on Network Ties UAI 2019 Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder Interspeech 2019 Intragestural Variation in Natural Sentence Production: Essential Tremor Patients Treated with DBS Interspeech 2019 Inverse Abstraction of Neural Networks Using Symbolic Interpolation AAAI 2019 Inverse Cooking: Recipe Generation From Food Images CVPR 2019