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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

BERT Rediscovers the Classical NLP Pipeline ACL 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Better OOV Translation with Bilingual Terminology Mining ACL 2019 Beyond Structural Causal Models: Causal Constraints Models UAI 2019 Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat NAACL 2019 Beyond the Single Neuron Convex Barrier for Neural Network Certification NeurIPS 2019 Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation ICCV 2019 Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019 Bias Analysis and Mitigation in the Evaluation of Authorship Verification ACL 2019 Biases for Emergent Communication in Multi-agent Reinforcement Learning NeurIPS 2019 Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers ICLR 2019 Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases NAACL 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization ACL 2019 Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks ICCV 2019 Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction CVPR 2019 Bilinear Attention Networks for Person Retrieval ICCV 2019 Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss IJCAI 2019 Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019 Biologically-Constrained Graphs for Global Connectomics Reconstruction CVPR 2019 Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019 Biomedical Event Extraction based on Knowledge-driven Tree-LSTM NAACL 2019 BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting AAAI 2019 Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search ICCV 2019 Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains ACL 2019