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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)

Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020 Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning ICML 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 Adaptive Exploration in Linear Contextual Bandit AISTATS 2020 Adaptive Hierarchical Down-Sampling for Point Cloud Classification CVPR 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Adaptive Interaction Modeling via Graph Operations Search CVPR 2020 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 Adaptive Neural Connections for Sparsity Learning WACV 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020 Adaptive Submodular Maximization under Stochastic Item Costs COLT 2020 Adaptive Transformers for Learning Multimodal Representations ACL 2020 A Dataset for Linguistic Understanding, Visual Evaluation, and Recognition of Sign Languages: The K-RSL CoNLL 2020 A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP 2020 Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks ICLR 2020 Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training MIDL 2020 A Deep Learning System for Sentiment Analysis of Service Calls ACL 2020 A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation IJCAI 2020 A Diagnostic Study of Explainability Techniques for Text Classification EMNLP 2020 A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020 A Distributional Framework For Data Valuation ICML 2020 Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements COLING 2020 A DNN-HMM-DNN Hybrid Model for Discovering Word-Like Units from Spoken Captions and Image Regions Interspeech 2020 Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition Interspeech 2020