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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)

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency EMNLP 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 SafeConv: Explaining and Correcting Conversational Unsafe Behavior ACL 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL ICLR 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Safe Interactive Autonomy for Multi-Agent Systems AAAI 2023 Safe Interval Path Planning with Kinodynamic Constraints AAAI 2023 Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models CVPR 2023 SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control AAAI 2023 SAFE: Machine Unlearning With Shard Graphs ICCV 2023 Safe Multi-agent Learning via Trapping Regions IJCAI 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation ICLR 2023 Safe Reinforcement Learning via Probabilistic Logic Shields IJCAI 2023 Safe Reinforcement Learning via Shielding under Partial Observability AAAI 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract) AAAI 2023 Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark NeurIPS 2023 Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach AAAI 2023 Safety Verification and Universal Invariants for Relational Action Bases IJCAI 2023 Safety Verification of Decision-Tree Policies in Continuous Time NeurIPS 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 SAGEViz: SchemA GEneration and Visualization EMNLP 2023 Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems EMNLP 2023 Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023