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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
'5
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'25

Papers (including subtopics)

Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023 Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings NeurIPS 2023 Transferable Decoding with Visual Entities for Zero-Shot Image Captioning ICCV 2023 Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023 Transferable Unlearnable Examples ICLR 2023 Transfer learning for individual treatment effect estimation UAI 2023 Transfer Learning for Personality Perception via Speech Emotion Recognition Interspeech 2023 Transferring General Multimodal Pretrained Models to Text Recognition ACL 2023 Transformation-Equivariant 3D Object Detection for Autonomous Driving AAAI 2023 Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens EMNLP 2023 Transformer-based Planning for Symbolic Regression NeurIPS 2023 Transformer-based Prediction of Emotional Reactions to Online Social Network Posts ACL 2023 Transformer-Based Unified Recognition of Two Hands Manipulating Objects CVPR 2023 Transformer Language Models Handle Word Frequency in Prediction Head ACL 2023 Transformer Meets Boundary Value Inverse Problems ICLR 2023 Transformer-Patcher: One Mistake Worth One Neuron ICLR 2023 Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars NeurIPS 2023 Transformers as Algorithms: Generalization and Stability in In-context Learning ICML 2023 Transformers as Graph-to-Graph Models EMNLP 2023 Transformers Learn In-Context by Gradient Descent ICML 2023 Transformers Learn Shortcuts to Automata ICLR 2023 Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation EMNLP 2023 Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism CoRL 2023 TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers ICCV 2023 Transition-constant Normalization for Image Enhancement NeurIPS 2023