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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Untangling Dense Knots by Learning Task-Relevant Keypoints CoRL 2020 Untangling tradeoffs between recurrence and self-attention in artificial neural networks NeurIPS 2020 UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis SemEval 2020 UoS Participation in the WMT20 Translation of Biomedical Abstracts EMNLP 2020 UPB at FinCausal-2020, Tasks 1 & 2: Causality Analysis in Financial Documents using Pretrained Language Models COLING 2020 UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis SemEval 2020 UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter EMNLP 2020 Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020 Urszula Walińska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis SemEval 2020 User Memory Reasoning for Conversational Recommendation COLING 2020 User Modeling with Click Preference and Reading Satisfaction for News Recommendation IJCAI 2020 Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects CVPR 2020 Using deep networks for scientific discovery in physiological signals MLHC 2020 Using Large Pretrained Language Models for Answering User Queries from Product Specifications ACL 2020 Using Silence MR Image to Synthesise Dynamic MRI Vocal Tract Data of CV Interspeech 2020 Using the Poly-encoder for a COVID-19 Question Answering System EMNLP 2020 Using Type Information to Improve Entity Coreference Resolution EMNLP 2020 Using Visual Feature Space as a Pivot Across Languages EMNLP 2020 USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation ACL 2020 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020 UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes SemEval 2020 V4D: 4D Convolutional Neural Networks for Video-level Representation Learning ICLR 2020 Value Preserving State-Action Abstractions AISTATS 2020 Variational Bayesian Quantization ICML 2020 Variational Context-Deformable ConvNets for Indoor Scene Parsing CVPR 2020