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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)

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory NeurIPS 2023 Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting EMNLP 2023 Decoding the Underlying Meaning of Multimodal Hateful Memes IJCAI 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NeurIPS 2023 DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023 DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering ACL 2023 Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection CVPR 2023 Decomposed Prompting: A Modular Approach for Solving Complex Tasks ICLR 2023 Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning CVPR 2023 Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction CVPR 2023 Decomposing Complex Queries for Tip-of-the-tongue Retrieval EMNLP 2023 DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models EMNLP 2023 Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses NeurIPS 2023 Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering ICCV 2023 Decoupled Multimodal Distilling for Emotion Recognition CVPR 2023 Decouple knowledge from paramters for plug-and-play language modeling ACL 2023 Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023 Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023 DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank EMNLP 2023 DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers WACV 2023 Deductive Verification of Chain-of-Thought Reasoning NeurIPS 2023 Deep Active Contours for Real-time 6-DoF Object Tracking ICCV 2023 Deep Attentive Model for Knowledge Tracing AAAI 2023 Deep Depth Estimation From Thermal Image CVPR 2023 Deep Deterministic Uncertainty: A New Simple Baseline CVPR 2023