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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Scene Signatures: Localised and Point-less Features for Localisation RSS 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Seeing What You're Told: Sentence-Guided Activity Recognition In Video CVPR 2014 Self-Adaptable Templates for Feature Coding NeurIPS 2014 Self-Calibration and Visual SLAM with a Multi-Camera System on a Micro Aerial Vehicle RSS 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Set-Valued Approachability and Online Learning with Partial Monitoring JMLR 2014 Shape and Illumination from Shading using the Generic Viewpoint Assumption NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras CVPR 2014 Socially-aware Large-scale Crowd Forecasting CVPR 2014 Sparse binary zero-sum games ACML 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 SphereFlow: 6 DoF Scene Flow from RGB-D Pairs CVPR 2014 Structured Generative Models of Natural Source Code ICML 2014 Structured Prediction of Network Response ICML 2014 Structured Prediction via Output Space Search JMLR 2014 Submodular Attribute Selection for Action Recognition in Video NeurIPS 2014 Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NeurIPS 2014 Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions RSS 2014 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014