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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)

Quantifying lottery tickets under label noise: accuracy, calibration, and complexity UAI 2023 Quantifying Memorization Across Neural Language Models ICLR 2023 Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework NeurIPS 2023 Quantifying the Cost of Learning in Queueing Systems NeurIPS 2023 Quantifying the Dialect Gap and its Correlates Across Languages EMNLP 2023 Quantifying the redundancy between prosody and text EMNLP 2023 Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract) AAAI 2023 Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation IJCAI 2023 Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023 Quantum Bayesian Optimization NeurIPS 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023 Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023 Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond JMLR 2023 QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing EMNLP 2023 Queer Events, Relationships, and Sports: Does Topic Influence Speakers’ Acoustic Expression of Sexual Orientation? Interspeech 2023 Query-as-context Pre-training for Dense Passage Retrieval EMNLP 2023 Query-aware Multi-modal based Ranking Relevance in Video Search EMNLP 2023 Query Based Acoustic Summarization for Podcasts Interspeech 2023 Query-based Image Captioning from Multi-context 360cdegree Images EMNLP 2023 Query-Centric Trajectory Prediction CVPR 2023 Query-Efficient Black-Box Red Teaming via Bayesian Optimization ACL 2023 Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling ACL 2023 Query Refinement Prompts for Closed-Book Long-Form QA ACL 2023 Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs ACL 2023 Question Answering as Programming for Solving Time-Sensitive Questions EMNLP 2023