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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)

On-Policy Model Errors in Reinforcement Learning ICLR 2022 On Preferences and Priority Rules in Abstract Argumentation IJCAI 2022 On Preferred Abductive Explanations for Decision Trees and Random Forests IJCAI 2022 On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract) IJCAI 2022 On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NeurIPS 2022 On Robust Prefix-Tuning for Text Classification ICLR 2022 On testability of the front-door model via Verma constraints UAI 2022 On Testing for Discrimination Using Causal Models AAAI 2022 On the Adversarial Robustness of Causal Algorithmic Recourse ICML 2022 On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) JMLR 2022 On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets EMNLP 2022 On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration IJCAI 2022 On the Complementarity of Images and Text for the Expression of Emotions in Social Media ACL 2022 On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits IJCAI 2022 On the Complexity of Inductively Learning Guarded Clauses AAAI 2022 On the Computational Complexity of Model Reconciliations IJCAI 2022 On the Convergence of Certified Robust Training with Interval Bound Propagation ICLR 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022 On the convergence of policy gradient methods to Nash equilibria in general stochastic games NeurIPS 2022 On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022 On the Convergence of the Shapley Value in Parametric Bayesian Learning Games ICML 2022 On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense? EMNLP 2022 On the difficulty of learning chaotic dynamics with RNNs NeurIPS 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs NeurIPS 2022