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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 the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022 On the Role of Bidirectionality in Language Model Pre-Training EMNLP 2022 On the role of population heterogeneity in emergent communication ICLR 2022 On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark ACL 2022 On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach NeurIPS 2022 On the Sample Complexity of Stability Constrained Imitation Learning L4DC 2022 On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory NeurIPS 2022 On the Sensitivity and Stability of Model Interpretations in NLP ACL 2022 On the Stability and Scalability of Node Perturbation Learning NeurIPS 2022 On the Symmetries of Deep Learning Models and their Internal Representations NeurIPS 2022 On the Transformation of Latent Space in Fine-Tuned NLP Models EMNLP 2022 On the Use of Deep Mask Estimation Module for Neural Source Separation Systems Interspeech 2022 OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022 On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks NeurIPS 2022 On Verifying Expectations and Observations of Intelligent Agents IJCAI 2022 On What it Means to Pay Your Fair Share: Towards Automatically Mapping Different Conceptions of Tax Justice in Legal Research Literature EMNLP 2022 OpenBrand: Open Brand Value Extraction from Product Descriptions ACL 2022 Open Challenges in Deep Stereo: The Booster Dataset CVPR 2022 OpenCQA: Open-ended Question Answering with Charts EMNLP 2022 Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources CVPR 2022 Open-Domain Dialog Evaluation Using Follow-Ups Likelihood COLING 2022 Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next ACL 2022 Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge EMNLP 2022 Open-Domain Sign Language Translation Learned from Online Video EMNLP 2022 Open-domain Video Commentary Generation EMNLP 2022