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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
'5
'10
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'25

Papers (including subtopics)

Efficient Offline Policy Optimization with a Learned Model ICLR 2023 Efficient Planning in a Compact Latent Action Space ICLR 2023 Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents NeurIPS 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023 Efficient recurrent architectures through activity sparsity and sparse back-propagation through time ICLR 2023 Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis ICCV 2023 Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors RSS 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Efficient SAGE Estimation via Causal Structure Learning AISTATS 2023 Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023 Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder IJCAI 2023 Efficient Subgame Refinement for Extensive-form Games NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 Efficient Transformer Knowledge Distillation: A Performance Review EMNLP 2023 Efficient Verification of Neural Networks Against LVM-Based Specifications CVPR 2023 Efficient Video Action Detection with Token Dropout and Context Refinement ICCV 2023 Efficient View Synthesis with Neural Radiance Distribution Field ICCV 2023 EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning ACL 2023 Efficient volumetric mapping of multi-scale environments using wavelet-based compression RSS 2023 Effidit: An Assistant for Improving Writing Efficiency ACL 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023 Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities NeurIPS 2023 Egocentric Planning for Scalable Embodied Task Achievement NeurIPS 2023 EgoTV: Egocentric Task Verification from Natural Language Task Descriptions ICCV 2023