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Core AI

59,089 papers (13 classified directly here)

Subtopics

Multimodal Learning (13,185) Large Language Models (7,668) Interpretability (7,452) Foundation Models (4,860) Agent Systems (4,088) Multi-Agent Systems (3,480) Causal Inference (3,333) Planning (3,142) AI Safety (3,026) Reasoning (2,964) Human-AI Interaction (2,346) Natural Language Processing (2,158) Responsible AI (2,003) Model Compression (1,952) Game AI (1,781) Computer Vision (1,680) Multi-Modal Learning (1,530) Autonomous Vehicles (1,362) Language (1,325) Adversarial Learning (1,292) Fairness (1,193) Dialogue Systems (1,015) Reinforcement Learning (984) Game Theory (939) Robotics (931) Efficient Computing (716) Knowledge Graph (714) Procedural Generation (665) Trajectory Prediction (634) Natural Language Generation (536) Privacy (520) Memory (460) Information Retrieval (425) Safety (414) Knowledge Representation (398) Evaluation (393) Knowledge (382) Information Extraction (371) Decision Making (294) Knowledge Graphs (261) Knowledge Editing (196) Speech Processing (193) Vision-Language Models (159) Question Answering (158) Retrieval-Augmented Generation (147) Knowledge Distillation (121) Attention (118) Brain-Computer Interface (104) Code Generation (99) Security (95) Natural Language Understanding (67) Uncertainty Quantification (56) Learning Paradigms (52) Robustness (49) Representation Learning (48) Education (44) Explainability (41) Risk Management (40) Speech Recognition (29) Automated Reasoning (28) Natural Language Inference (26) Multi-Lingual Learning (26) Machine Translation (22) Visual Question Answering (21) Anomaly Detection (16) Communication (13) Representation (11) Neural Networks (11) Sentiment Analysis (9) Motion Analysis (7)

Papers per year

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11
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Papers (including subtopics)

Eliciting Categorical Data for Optimal Aggregation NIPS 2016
Achieving budget-optimality with adaptive schemes in crowdsourcing NIPS 2016
Dialog-based Language Learning NIPS 2016
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NIPS 2016
Efficient state-space modularization for planning: theory, behavioral and neural signatures NIPS 2016
Fast and accurate spike sorting of high-channel count probes with KiloSort NIPS 2016
Learning Bayesian networks with ancestral constraints NIPS 2016
End-to-End Goal-Driven Web Navigation NIPS 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks NIPS 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization NIPS 2016
Learning Tree Structured Potential Games NIPS 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NIPS 2016
Learnable Visual Markers NIPS 2016
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NIPS 2016
An Online Sequence-to-Sequence Model Using Partial Conditioning NIPS 2016
Interaction Networks for Learning about Objects, Relations and Physics NIPS 2016
Synthesis of MCMC and Belief Propagation NIPS 2016
Designing smoothing functions for improved worst-case competitive ratio in online optimization NIPS 2016
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NIPS 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NIPS 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks NIPS 2016
Catching heuristics are optimal control policies NIPS 2016
Identification and Overidentification of Linear Structural Equation Models NIPS 2016
Learning Multiagent Communication with Backpropagation NIPS 2016
Examples are not enough, learn to criticize! Criticism for Interpretability NIPS 2016