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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
99
273
4,063
17,181
2000
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Papers (including subtopics)

Sample-Efficient Reinforcement Learning of Undercomplete POMDPs NeurIPS 2020 Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020 Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling CoRL 2020 SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CoRL 2020 SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020 Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NeurIPS 2020 Sanity Checks for Saliency Metrics AAAI 2020 SAPIEN: A SimulAted Part-Based Interactive ENvironment CVPR 2020 SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing ACL 2020 Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs CVPR 2020 Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion RSS 2020 Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems AAAI 2020 Scalable Differentiable Physics for Learning and Control ICML 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020 Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM ICML 2020 Scalable Model Compression by Entropy Penalized Reparameterization ICLR 2020 Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020 Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base ICLR 2020 Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020 Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model COLING 2020 ScaleNet - Improve CNNs through Recursively Rescaling Objects AAAI 2020 Scaling data-driven robotics with reward sketching and batch reinforcement learning RSS 2020 Scaling Up AND/OR Abstraction Sampling IJCAI 2020 Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020 SCATTER: Selective Context Attentional Scene Text Recognizer CVPR 2020