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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

N-Singer: A Non-Autoregressive Korean Singing Voice Synthesis System for Pronunciation Enhancement Interspeech 2021 NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions EMNLP 2021 Numerical reasoning in machine reading comprehension tasks: are we there yet? EMNLP 2021 NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization JMLR 2021 O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning CoRL 2021 OadTR: Online Action Detection With Transformers ICCV 2021 Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning NeurIPS 2021 Object Classification From Randomized EEG Trials CVPR 2021 Object DGCNN: 3D Object Detection using Dynamic Graphs NeurIPS 2021 Objective-aware Traffic Simulation via Inverse Reinforcement Learning IJCAI 2021 Object Relation Attention for Image Paragraph Captioning AAAI 2021 Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild With Pose Annotations CVPR 2021 Off-Belief Learning ICML 2021 Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers ICLR 2021 Offline Reinforcement Learning as One Big Sequence Modeling Problem NeurIPS 2021 Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks ACL 2021 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021 Offset-free setpoint tracking using neural network controllers L4DC 2021 Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer NAACL 2021 On a Competitive Secretary Problem with Deferred Selections IJCAI 2021 On Attention Redundancy: A Comprehensive Study NAACL 2021 On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021 On Belief Change for Multi-Label Classifier Encodings IJCAI 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making NeurIPS 2021 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021