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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)

No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023 Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023 Normalizing Flows for Interventional Density Estimation ICML 2023 Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy IJCAI 2023 NORM: Knowledge Distillation via N-to-One Representation Matching ICLR 2023 Norm of Word Embedding Encodes Information Gain EMNLP 2023 No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference ACL 2023 NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models ACL 2023 Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis ACL 2023 Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning EMNLP 2023 Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines EMNLP 2023 Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting EMNLP 2023 Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts NeurIPS 2023 Not all quantifiers are equal: Probing Transformer-based language models’ understanding of generalised quantifiers EMNLP 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 Not Just Iconic: Emoji Interpretation is Shaped by Use ACL 2023 No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS 2023 Not The End of Story: An Evaluation of ChatGPT-Driven Vulnerability Description Mappings ACL 2023 Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables AAAI 2023 Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023 Novel-View Acoustic Synthesis CVPR 2023 Novel-View Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views ICCV 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs AAAI 2023 NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations CVPR 2023