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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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Papers (including subtopics)

Sequence-to-Sequence Lexical Normalization with Multilingual Transformers EMNLP 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 Sequential Causal Imitation Learning with Unobserved Confounders NeurIPS 2021 Sequential End-to-End Intent and Slot Label Classification and Localization Interspeech 2021 Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021 Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization EMNLP 2021 Set Generation Networks for End-to-End Knowledge Base Population EMNLP 2021 Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts ACL 2021 SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction CVPR 2021 SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation CVPR 2021 SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation ICCV 2021 SgSum:Transforming Multi-document Summarization into Sub-graph Selection EMNLP 2021 Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations EMNLP 2021 Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic Scene Interspeech 2021 SHAPELURN: An Interactive Language Learning Game with Logical Inference ACL 2021 SHAPE: Shifted Absolute Position Embedding for Transformers EMNLP 2021 Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices NeurIPS 2021 Shaping embodied agent behavior with activity-context priors from egocentric video NeurIPS 2021 Shapley explainability on the data manifold ICLR 2021 Shapley Flow: A Graph-based Approach to Interpreting Model Predictions AISTATS 2021 Shared Cross-Modal Trajectory Prediction for Autonomous Driving CVPR 2021 Shared Task 1 System Description : Exploring different approaches for multilingual tasks ACL 2021 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ICLR 2021 Shellcode_IA32: A Dataset for Automatic Shellcode Generation ACL 2021 Shift Invariance Can Reduce Adversarial Robustness NeurIPS 2021