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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

rematchka at ArAIEval Shared Task: Prefix-Tuning & Prompt-tuning for Improved Detection of Propaganda and Disinformation in Arabic Social Media Content EMNLP 2023 Remember what you did so you know what to do next EMNLP 2023 Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection ICCV 2023 Remote Assessment for ALS using Multimodal Dialog Agents: Data Quality, Feasibility and Task Compliance Interspeech 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NeurIPS 2023 Renderable Neural Radiance Map for Visual Navigation CVPR 2023 Repeated Bilateral Trade Against a Smoothed Adversary COLT 2023 Replace and Report: NLP Assisted Radiology Report Generation ACL 2023 Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay ICLR 2023 RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation EMNLP 2023 RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NeurIPS 2023 Repository-Level Prompt Generation for Large Language Models of Code ICML 2023 RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers ICCV 2023 Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NeurIPS 2023 Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023 Representation Learning for Low-rank General-sum Markov Games ICLR 2023 Representation Learning for Visual Object Tracking by Masked Appearance Transfer CVPR 2023 Representation with Incomplete Votes AAAI 2023 Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023 Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency ICLR 2023 Reproducibility of Training Deep Learning Models for Medical Image Analysis MIDL 2023 Reproducible Scaling Laws for Contrastive Language-Image Learning CVPR 2023 ResearchTeam_HCN at SemEval-2023 Task 6: A knowledge enhanced transformers based legal NLP system SemEval 2023 ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue EMNLP 2023