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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)

Scalable Constraint-based Virtual Data Center Allocation IJCAI 2017 Scalable Demand-Aware Recommendation NeurIPS 2017 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Scale-Invariant Recognition by Weight-Shared CNNs in Parallel ACML 2017 SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations EMNLP 2017 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017 Scientific Information Extraction with Semi-supervised Neural Tagging EMNLP 2017 Search and Learn: On Dead-End Detectors, the Traps they Set, and Trap Learning IJCAI 2017 Search Strategies as Synchronous Processes (Extended Abstract) IJCAI 2017 Selective Encoding for Abstractive Sentence Summarization ACL 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017 Semantic Parsing of Pre-university Math Problems ACL 2017 SemEval-2017 Task 11: End-User Development using Natural Language SemEval 2017 Semi Parametric Concatenative TTS with Instant Voice Modification Capabilities Interspeech 2017 Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources ACML 2017 Semi-supervised Multitask Learning for Sequence Labeling ACL 2017 Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter ACL 2017 Sequence-to-Dependency Neural Machine Translation ACL 2017 Sequence to Sequence Modeling for User Simulation in Dialog Systems Interspeech 2017 Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots ACL 2017 Shadowing Synthesized Speech — Segmental Analysis of Phonetic Convergence Interspeech 2017 ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing EACL 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017