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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)

Recognizing Vector Graphics without Rasterization NeurIPS 2021 Reconciling Rewards with Predictive State Representations IJCAI 2021 Reconsidering the Past: Optimizing Hidden States in Language Models EMNLP 2021 Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 Recovering AES Keys with a Deep Cold Boot Attack ICML 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts NeurIPS 2021 Recurrent Attention for the Transformer EMNLP 2021 Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility AAAI 2021 Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NeurIPS 2021 Recursive Tree-Structured Self-Attention for Answer Sentence Selection ACL 2021 RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ACL 2021 ReDet: A Rotation-Equivariant Detector for Aerial Object Detection CVPR 2021 Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning IJCAI 2021 Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks NeurIPS 2021 Reducing Streaming ASR Model Delay with Self Alignment Interspeech 2021 Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks ICLR 2021 Reference-Centric Models for Grounded Collaborative Dialogue EMNLP 2021 Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics EMNLP 2021 Referenceless Parsing-Based Evaluation of AMR-to-English Generation EMNLP 2021 Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images CVPR 2021 Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration EMNLP 2021 Refined approachability algorithms and application to regret minimization with global costs JMLR 2021 RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features CVPR 2021 REFINE: Prediction Fusion Network for Panoptic Segmentation AAAI 2021 Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding AAAI 2021