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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020 AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises AACL 2020 AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NeurIPS 2020 AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data EMNLP 2020 Autoregressive Reasoning over Chains of Facts with Transformers COLING 2020 AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification Interspeech 2020 AutoSpeech: Neural Architecture Search for Speaker Recognition Interspeech 2020 Auxiliary Training: Towards Accurate and Robust Models CVPR 2020 A Variable Rolling SLIP Model for a Conceptual Leg Shape to Increase Robustness of Uncertain Velocity on Unknown Terrain RSS 2020 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 A Variational Point Process Model for Social Event Sequences AAAI 2020 AvE: Assistance via Empowerment NeurIPS 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 AViD Dataset: Anonymized Videos from Diverse Countries NeurIPS 2020 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020 A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses EMNLP 2020 A Visuospatial Dataset for Naturalistic Verb Learning COLING 2020 Avoiding Side Effects By Considering Future Tasks NeurIPS 2020 Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020 BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020 Backpropagating Linearly Improves Transferability of Adversarial Examples NeurIPS 2020 Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020 BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text SemEval 2020 Balancing Cost and Benefit with Tied-Multi Transformers ACL 2020 Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning IJCAI 2020