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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)

6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing AAAI 2022 A2: Efficient Automated Attacker for Boosting Adversarial Training NeurIPS 2022 A Bandit Model for Human-Machine Decision Making with Private Information and Opacity AISTATS 2022 AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy NAACL 2022 AbductionRules: Training Transformers to Explain Unexpected Inputs ACL 2022 A Benchmark for Compositional Visual Reasoning NeurIPS 2022 A Benchmark for Neural Readability Assessment of Texts in Spanish EMNLP 2022 A*+BFHS: A Hybrid Heuristic Search Algorithm AAAI 2022 A blueprint for using deepfakes in sociolinguistic matched-guise experiments Interspeech 2022 A bounded-noise mechanism for differential privacy COLT 2022 About Time: Do Transformers Learn Temporal Verbal Aspect? ACL 2022 A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks ICML 2022 A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres CVPR 2022 Abstraction in Data-Sparse Task Transfer (Extended Abstract) IJCAI 2022 Abstractive Summarization Guided by Latent Hierarchical Document Structure EMNLP 2022 Abstract Rule Learning for Paraphrase Generation IJCAI 2022 Abstract Visual Reasoning with Tangram Shapes EMNLP 2022 A Calculus for Computing Structured Justifications for Election Outcomes AAAI 2022 A Causal Analysis of Harm NeurIPS 2022 A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022 A Causal Debiasing Framework for Unsupervised Salient Object Detection AAAI 2022 A Causal Inference Look at Unsupervised Video Anomaly Detection AAAI 2022 Accelerating Code Search with Deep Hashing and Code Classification ACL 2022 Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers L4DC 2022 Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization Interspeech 2022