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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)

Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following ACL 2019 Pretrained Ensemble Learning for Fine-Grained Propaganda Detection EMNLP 2019 Pretrained Language Models for Sequential Sentence Classification EMNLP 2019 Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings Interspeech 2019 Pretraining Methods for Dialog Context Representation Learning ACL 2019 Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019 Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NeurIPS 2019 Primarily about Primaries AAAI 2019 Prior-Free Dynamic Auctions with Low Regret Buyers NeurIPS 2019 Prior Guided Dropout for Robust Visual Localization in Dynamic Environments ICCV 2019 Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NeurIPS 2019 Privacy Preserving Image-Based Localization CVPR 2019 Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery CVPR 2019 Private Center Points and Learning of Halfspaces COLT 2019 Private Model Compression via Knowledge Distillation AAAI 2019 Proactive Human-Machine Conversation with Explicit Conversation Goal ACL 2019 Probabilistic Alternating-Time µ-Calculus AAAI 2019 Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces AAAI 2019 Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019 Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks RSS 2019 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning ICLR 2019 Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation Interspeech 2019 Probability Distillation: A Caveat and Alternatives UAI 2019