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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)

Causal Influence Detection for Improving Efficiency in Reinforcement Learning NeurIPS 2021 Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021 Causal Learning for Socially Responsible AI IJCAI 2021 Causal Modeling with Stochastic Confounders AISTATS 2021 Causal Navigation by Continuous-time Neural Networks NeurIPS 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning ICLR 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation COLT 2021 CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method NeurIPS 2021 CDˆ2CR: Co-reference resolution across documents and domains EACL 2021 CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021 CDRNN: Discovering Complex Dynamics in Human Language Processing ACL 2021 Center Smoothing: Certified Robustness for Networks with Structured Outputs NeurIPS 2021 CentripetalText: An Efficient Text Instance Representation for Scene Text Detection NeurIPS 2021 Certainty Equivalent Perception-Based Control L4DC 2021 Certification of iterative predictions in Bayesian neural networks UAI 2021 Certified Robustness to Programmable Transformations in LSTMs EMNLP 2021 Certified Robustness to Word Substitution Attack with Differential Privacy NAACL 2021 Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization L4DC 2021 Certifying Robustness to Programmable Data Bias in Decision Trees NeurIPS 2021 Certifying Top-Down Decision-DNNF Compilers AAAI 2021 Certify or Predict: Boosting Certified Robustness with Compositional Architectures ICLR 2021 *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task AAAI 2021 CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space IJCAI 2021