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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
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'25

Papers (including subtopics)

Near-optimal Policy Identification in Active Reinforcement Learning ICLR 2023 Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems JMLR 2023 Negative Flux Aggregation to Estimate Feature Attributions IJCAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023 NeMF: Inverse Volume Rendering with Neural Microflake Field ICCV 2023 NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails EMNLP 2023 NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS 2023 NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and Navigation NeurIPS 2023 NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation CVPR 2023 NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer CVPR 2023 NeRF-MS: Neural Radiance Fields with Multi-Sequence ICCV 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 NeRN: Learning Neural Representations for Neural Networks ICLR 2023 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023 NetEase.AI at SemEval-2023 Task 2: Enhancing Complex Named Entities Recognition in Noisy Scenarios via Text Error Correction and External Knowledge SemEval 2023 Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence AAAI 2023 Networked Restless Bandits with Positive Externalities AAAI 2023 Network Effects in Performative Prediction Games ICML 2023 NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization CVPR 2023 NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023 Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication ICLR 2023 Neural Algorithmic Reasoning with Causal Regularisation ICML 2023 Neural Algorithmic Reasoning Without Intermediate Supervision NeurIPS 2023 Neural Architecture Design and Robustness: A Dataset ICLR 2023 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023