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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)

Glancing Transformer for Non-Autoregressive Neural Machine Translation ACL 2021 GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition CVPR 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration ICCV 2021 Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games NeurIPS 2021 Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors EMNLP 2021 Global explanations with decision rules: a co-learning approach UAI 2021 Global Fusion Attention for Vision and Language Understanding (Student Abstract) AAAI 2021 Globalizing BERT-based Transformer Architectures for Long Document Summarization EACL 2021 Globally-Robust Neural Networks ICML 2021 GlocalNet: Class-Aware Long-Term Human Motion Synthesis WACV 2021 GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition ICCV 2021 Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis Interspeech 2021 GMH: A General Multi-hop Reasoning Model for KG Completion EMNLP 2021 Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle AAAI 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 Goal-Driven Long-Term Trajectory Prediction WACV 2021 Going Beyond Linear Transformers with Recurrent Fast Weight Programmers NeurIPS 2021 Going Deeper With Directly-Trained Larger Spiking Neural Networks AAAI 2021 Good-Enough Example Extrapolation EMNLP 2021 Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation ACL 2021 GPT Perdetry Test: Generating new meanings for new words NAACL 2021 Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021 Gradient-based optimization for multi-resource spatial coverage problems UAI 2021