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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)

Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation AAAI 2020 Balancing Spreads of Influence in a Social Network AAAI 2020 BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models EMNLP 2020 BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement AAAI 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract) AAAI 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract) IJCAI 2020 Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks NeurIPS 2020 Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020 Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020 Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020 Bayesian Multi-type Mean Field Multi-agent Imitation Learning NeurIPS 2020 Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Bayesian Pseudocoresets NeurIPS 2020 Bayesian Robust Optimization for Imitation Learning NeurIPS 2020 Bayesian Sparsification of Deep C-valued Networks ICML 2020 BayesOpt Adversarial Attack ICLR 2020 BayesRace: Learning to race autonomously using prior experience CoRL 2020 Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference PGM 2020