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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)

Modeling Strategies as Programs: How to Study Strategy Differences in Intelligent Systems with Program Synthesis AAAI 2023 Modeling Stroke Mask for End-to-End Text Erasing WACV 2023 Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks ACL 2023 Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization ICLR 2023 Modeling the Lighting in Scenes As Style for Auto White-Balance Correction WACV 2023 Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process ACL 2023 Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation ACL 2023 Model Interpretability and Rationale Extraction by Input Mask Optimization ACL 2023 Model Predictive Control with Reach-avoid Analysis IJCAI 2023 ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models EMNLP 2023 Model Shapley: Equitable Model Valuation with Black-box Access NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 Models See Hallucinations: Evaluating the Factuality in Video Captioning EMNLP 2023 Model-tuning Via Prompts Makes NLP Models Adversarially Robust EMNLP 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations ICLR 2023 MoDi: Unconditional Motion Synthesis From Diverse Data CVPR 2023 Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners CVPR 2023 Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 Modular Domain Adaptation for Conformer-Based Streaming ASR Interspeech 2023 Modularized Zero-shot VQA with Pre-trained Models ACL 2023 Modular Memorability: Tiered Representations for Video Memorability Prediction CVPR 2023 Modular Speech-to-Text Translation for Zero-Shot Cross-Modal Transfer Interspeech 2023 Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023 Modular Visual Question Answering via Code Generation ACL 2023