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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)

Provably efficient reinforcement learning with linear function approximation COLT 2020 Provenance for the Description Logic ELHr IJCAI 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Pruning Filter in Filter NeurIPS 2020 Pruning neural networks without any data by iteratively conserving synaptic flow NeurIPS 2020 Pseudo-Bidirectional Decoding for Local Sequence Transduction EMNLP 2020 PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer CVPR 2020 Pure-Past Linear Temporal and Dynamic Logic on Finite Traces IJCAI 2020 Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models AISTATS 2020 Pushing the Limits of AMR Parsing with Self-Learning EMNLP 2020 Putting Visual Object Recognition in Context CVPR 2020 PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020 pyBART: Evidence-based Syntactic Transformations for IE ACL 2020 PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 PySBD: Pragmatic Sentence Boundary Disambiguation EMNLP 2020 QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph EMNLP 2020 QASC: A Dataset for Question Answering via Sentence Composition AAAI 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Q-learning with Language Model for Edit-based Unsupervised Summarization EMNLP 2020 Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP ICLR 2020 Quantifying Attention Flow in Transformers ACL 2020 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 QuASE: Question-Answer Driven Sentence Encoding ACL 2020 Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings ICLR 2020