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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)

Judgment Prediction via Injecting Legal Knowledge into Neural Networks AAAI 2021 Just Ask: Learning To Answer Questions From Millions of Narrated Videos ICCV 2021 ‘Just because you are right, doesn’t mean I am wrong’: Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks EACL 2021 Justicia: A Stochastic SAT Approach to Formally Verify Fairness AAAI 2021 Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CoRL 2021 ‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP EMNLP 2021 KAAPA: Knowledge Aware Answers from PDF Analysis AAAI 2021 KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference ACL 2021 Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain CVPR 2021 KAN: Knowledge-aware Attention Network for Fake News Detection AAAI 2021 KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021 Keep CALM and Improve Visual Feature Attribution ICCV 2021 Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers NeurIPS 2021 Keep Your Distance: Land Division With Separation IJCAI 2021 Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection CVPR 2021 KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification AAAI 2021 Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction ACL 2021 Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges ACL 2021 Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning EMNLP 2021 Keyword-Guided Neural Conversational Model AAAI 2021 KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs ICCV 2021 K-level Reasoning for Zero-Shot Coordination in Hanabi NeurIPS 2021 KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships EMNLP 2021 KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation ACL 2021 K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management AAAI 2021