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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)

A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video AAAI 2020 Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting CVPR 2020 Assessing Human-Parity in Machine Translation on the Segment Level EMNLP 2020 Assessing Robustness of Text Classification through Maximal Safe Radius Computation EMNLP 2020 Assessing SATNet's Ability to Solve the Symbol Grounding Problem NeurIPS 2020 Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent EMNLP 2020 A Stochastic Conditioning Scheme for Diverse Human Motion Prediction CVPR 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments IJCAI 2020 A Study on Encodings for Neural Architecture Search NeurIPS 2020 A Survey of the State of Explainable AI for Natural Language Processing AACL 2020 A survey on Recognizing Textual Entailment as an NLP Evaluation EMNLP 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability NeurIPS 2020 Asymptotically Unambitious Artificial General Intelligence AAAI 2020 Asynchronous Coagent Networks ICML 2020 Asynchronous Deep Model Reference Adaptive Control CoRL 2020 A Synset Relation-enhanced Framework with a Try-again Mechanism for Word Sense Disambiguation EMNLP 2020 A System for Medical Information Extraction and Verification from Unstructured Text AAAI 2020 A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing COLING 2020 A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning ICLR 2020 Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020 A Taxonomy of Empathetic Response Intents in Human Social Conversations COLING 2020 A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020 A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems IJCAI 2020