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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)

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021 Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 Policy-Guided Heuristic Search with Guarantees AAAI 2021 Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021 Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NeurIPS 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021 Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models ACL 2021 PolyLM: Learning about Polysemy through Language Modeling EACL 2021 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs AAAI 2021 Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning IJCAI 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 PoseBlocks: A Toolkit for Creating (and Dancing) with AI AAAI 2021 Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation CVPR 2021 Pose Correction for Highly Accurate Visual Localization in Large-Scale Indoor Spaces ICCV 2021 Pose-Guided Human Animation From a Single Image in the Wild CVPR 2021 Pose Invariant Topological Memory for Visual Navigation ICCV 2021 Pose Recognition With Cascade Transformers CVPR 2021 Positive Sample Propagation Along the Audio-Visual Event Line CVPR 2021 Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis CVPR 2021 Post-processing for Individual Fairness NeurIPS 2021 Post-Training Sparsity-Aware Quantization NeurIPS 2021 Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories RSS 2021 Power Constrained Bandits MLHC 2021 Power in Liquid Democracy AAAI 2021