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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)

Retrospective Reader for Machine Reading Comprehension AAAI 2021 Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021 Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning CVPR 2021 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021 Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems NeurIPS 2021 Revisiting 3D Object Detection From an Egocentric Perspective NeurIPS 2021 Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021 Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme NeurIPS 2021 Revisiting Dominance Pruning in Decoupled Search AAAI 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021 Revisiting Pretraining with Adapters ACL 2021 Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits EMNLP 2021 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NeurIPS 2021 Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021 Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits AAAI 2021 Reward Identification in Inverse Reinforcement Learning ICML 2021 RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021 RFNet: Recurrent Forward Network for Dense Point Cloud Completion ICCV 2021 R-GAP: Recursive Gradient Attack on Privacy ICLR 2021 RGB-D Saliency Detection via Cascaded Mutual Information Minimization ICCV 2021 RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms EMNLP 2021 Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks AAAI 2021 Riggable 3D Face Reconstruction via In-Network Optimization CVPR 2021 Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration AISTATS 2021 Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021