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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)

POMDP Planning for Object Search in Partially Unknown Environment NeurIPS 2023 POPGym: Benchmarking Partially Observable Reinforcement Learning ICLR 2023 Population-size-Aware Policy Optimization for Mean-Field Games ICLR 2023 PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023 PoseFix: Correcting 3D Human Poses with Natural Language ICCV 2023 Pose-Guided 3D Human Generation in Indoor Scene AAAI 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023 Position-Guided Text Prompt for Vision-Language Pre-Training CVPR 2023 Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue ACL 2023 POSQA: Probe the World Models of LLMs with Size Comparisons EMNLP 2023 Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023 Posterior Tracking Algorithm for Classification Bandits AISTATS 2023 Post-hoc Concept Bottleneck Models ICLR 2023 Post Hoc Explanations of Language Models Can Improve Language Models NeurIPS 2023 Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NeurIPS 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Post-Processing Temporal Action Detection CVPR 2023 Post-Training Quantization on Diffusion Models CVPR 2023 Post Turing: Mapping the landscape of LLM Evaluation EMNLP 2023 PourIt!: Weakly-Supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring ICCV 2023 POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments RSS 2023 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions ICLR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization ICLR 2023 PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks AAAI 2023 Practical Algorithms for Orientations of Partially Directed Graphical Models CLeaR 2023