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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)

Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020 Gradient-Based Neural DAG Learning ICLR 2020 Gradient Boosted Normalizing Flows NeurIPS 2020 Gradient-free Online Learning in Continuous Games with Delayed Rewards ICML 2020 Gradients as Features for Deep Representation Learning ICLR 2020 Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering AAAI 2020 Graph Constrained Reinforcement Learning for Natural Language Action Spaces ICLR 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling EMNLP 2020 Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model ACL 2020 GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension IJCAI 2020 Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection AAAI 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding AAAI 2020 Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases WACV 2020 Graph Representations for Higher-Order Logic and Theorem Proving AAAI 2020 Graph Structured Network for Image-Text Matching CVPR 2020 Graph-Structured Referring Expression Reasoning in the Wild CVPR 2020 Graph-to-Graph Transformer for Transition-based Dependency Parsing EMNLP 2020 GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020 Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020 GreedyFool: Distortion-Aware Sparse Adversarial Attack NeurIPS 2020 Grid-GCN for Fast and Scalable Point Cloud Learning CVPR 2020 Grounding Conversations with Improvised Dialogues ACL 2020 Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications RSS 2020