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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)

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes AAAI 2022 Distilled Dual-Encoder Model for Vision-Language Understanding EMNLP 2022 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NeurIPS 2022 Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition EMNLP 2022 Distilling Multilingual Transformers into CNNs for Scalable Intent Classification EMNLP 2022 Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation EMNLP 2022 Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs NeurIPS 2022 Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading AAAI 2022 Distinguishing Learning Rules with Brain Machine Interfaces NeurIPS 2022 Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model ACL 2022 Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants EMNLP 2022 Distortion in Voting with Top-t Preferences IJCAI 2022 Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping L4DC 2022 Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NeurIPS 2022 Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022 Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach L4DC 2022 Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022 Distributed Optimisation and Deconstruction of Bridges by Self-Assembling Robots RSS 2022 Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters L4DC 2022 Distributionally Adaptive Meta Reinforcement Learning NeurIPS 2022 Distributionally Robust Fair Principal Components via Geodesic Descents ICLR 2022 Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 Distribution Consistent Neural Architecture Search CVPR 2022 Ditto: Building Digital Twins of Articulated Objects From Interaction CVPR 2022 DIVA: Dataset Derivative of a Learning Task ICLR 2022