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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)

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings ACL 2020 Improving Multilingual Models with Language-Clustered Vocabularies EMNLP 2020 Improving Neural Language Generation with Spectrum Control ICLR 2020 Improving Neural Machine Translation with Soft Template Prediction ACL 2020 Improving Neural Relation Extraction with Positive and Unlabeled Learning AAAI 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020 Improving Slot Filling by Utilizing Contextual Information ACL 2020 Improving Speech Emotion Recognition Using Graph Attentive Bi-Directional Gated Recurrent Unit Network Interspeech 2020 Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020 Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition Interspeech 2020 Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization Interspeech 2020 IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval CVPR 2020 ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes CVPR 2020 Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition Interspeech 2020 Incentive-Compatible Classification AAAI 2020 Incentive-Compatible Diffusion Auctions IJCAI 2020 Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract) IJCAI 2020 Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks EMNLP 2020 Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework AAAI 2020 Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020 Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation COLING 2020 Incorporating Interpretable Output Constraints in Bayesian Neural Networks NeurIPS 2020 Incorporating Pragmatic Reasoning Communication into Emergent Language NeurIPS 2020 Incorporating Stylistic Lexical Preferences in Generative Language Models EMNLP 2020