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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)

What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021 What Would it Take to get Biomedical QA Systems into Practice? EMNLP 2021 What You Can Learn by Staring at a Blank Wall ICCV 2021 When and Why a Model Fails? A Human-in-the-loop Error Detection Framework for Sentiment Analysis NAACL 2021 When differential privacy meets NLP: The devil is in the detail EMNLP 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training EMNLP 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 When Is Generalizable Reinforcement Learning Tractable? NeurIPS 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes ICCV 2021 Where2Act: From Pixels to Actions for Articulated 3D Objects ICCV 2021 Where and What? Examining Interpretable Disentangled Representations CVPR 2021 Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples ICCV 2021 Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis EMNLP 2021 Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering ACL 2021 Whittle Networks: A Deep Likelihood Model for Time Series ICML 2021 Who Leads and Who Follows in Strategic Classification? NeurIPS 2021 Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies MIDL 2021 Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains CoNLL 2021 Who's Waldo? Linking People Across Text and Images ICCV 2021 WhyAct: Identifying Action Reasons in Lifestyle Vlogs EMNLP 2021 Why and What to Teach: AI Curriculum for Elementary School AAAI 2021 Why did the distribution change? AISTATS 2021 Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability NeurIPS 2021