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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)

Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes EMNLP 2021 Bayesian Bellman Operators NeurIPS 2021 Bayesian Deep Basis Fitting for Depth Completion With Uncertainty ICCV 2021 Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021 Bayesian neural network unit priors and generalized Weibull-tail property ACML 2021 Bayesian Optimized Monte Carlo Planning AAAI 2021 Bayesian Persuasion under Ex Ante and Ex Post Constraints AAAI 2021 Bayesian Topic Regression for Causal Inference EMNLP 2021 BayesIMP: Uncertainty Quantification for Causal Data Fusion NeurIPS 2021 Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example AAAI 2021 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery NeurIPS 2021 BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task NAACL 2021 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models NAACL 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration NeurIPS 2021 Behavioral Cloning from Noisy Demonstrations ICLR 2021 BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments CoRL 2021 Behavior-Driven Synthesis of Human Dynamics CVPR 2021 Behavior From the Void: Unsupervised Active Pre-Training NeurIPS 2021 BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief EMNLP 2021 Belief-based Generation of Argumentative Claims EACL 2021