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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)

Do Deep Generative Models Know What They Don't Know? ICLR 2019 Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation ACL 2019 Do Human Rationales Improve Machine Explanations? ACL 2019 Domain Adaptation of Neural Machine Translation by Lexicon Induction ACL 2019 Domain Adaptation of SRL Systems for Biological Processes ACL 2019 Domain Adaptive Dialog Generation via Meta Learning ACL 2019 Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019 Domain-Dependent and Domain-Independent Problem Solving Techniques IJCAI 2019 Domain-Size Aware Markov Logic Networks AISTATS 2019 DOM-Q-NET: Grounded RL on Structured Language ICLR 2019 Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019 Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ACL 2019 Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors ICLR 2019 Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP 2019 Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects EMNLP 2019 DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling AAAI 2019 Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification EMNLP 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles ICCV 2019 Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition ACL 2019 Dual Attention Matching for Audio-Visual Event Localization ICCV 2019 Dual Attention Networks for Visual Reference Resolution in Visual Dialog EMNLP 2019 Dual Encoding for Zero-Example Video Retrieval CVPR 2019 DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer ICCV 2019 Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots EMNLP 2019