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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)

Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 Effective Use of Graph Convolution Network and Contextual Sub-Tree for Commodity News Event Extraction EMNLP 2021 Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models EMNLP 2021 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent EMNLP 2021 Efficient Algorithms for Stochastic Repeated Second-price Auctions ALT 2021 Efficient Attentions for Long Document Summarization NAACL 2021 EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation EMNLP 2021 Efficient Black-Box Planning Using Macro-Actions with Focused Effects IJCAI 2021 Efficient Certification of Spatial Robustness AAAI 2021 Efficient Certified Defenses Against Patch Attacks on Image Classifiers ICLR 2021 Efficient Computation and Analysis of Distributional Shapley Values AISTATS 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games ICML 2021 Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy EMNLP 2021 Efficient Empowerment Estimation for Unsupervised Stabilization ICLR 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Efficiently Explaining CSPs with Unsatisfiable Subset Optimization IJCAI 2021 Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement EMNLP 2021 Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization AAAI 2021 Efficient Online Estimation of Causal Effects by Deciding What to Observe NeurIPS 2021 Efficient Poverty Mapping from High Resolution Remote Sensing Images AAAI 2021 Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL ICLR 2021 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ACL 2021 Efficient Wasserstein Natural Gradients for Reinforcement Learning ICLR 2021