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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)

Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering EMNLP 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Towards Emotional Support Dialog Systems ACL 2021 Towards Evaluating and Training Verifiably Robust Neural Networks CVPR 2021 Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021 Towards Fair and Transparent Algorithmic Systems IJCAI 2021 Towards Fair, Equitable, and Efficient Peer Review AAAI 2021 Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021 Towards Human-Centered Summarization: A Case Study on Financial News EACL 2021 Towards Hybrid Human-Machine Workflow for Natural Language Generation EACL 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 Towards Improving Adversarial Training of NLP Models EMNLP 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021 Towards Interpretable Deep Metric Learning With Structural Matching ICCV 2021 Towards Interpretable Deep Networks for Monocular Depth Estimation ICCV 2021 Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models NAACL 2021 Towards Long-Form Video Understanding CVPR 2021 Towards Making the Most of Dialogue Characteristics for Neural Chat Translation EMNLP 2021 Towards mental time travel: a hierarchical memory for reinforcement learning agents NeurIPS 2021 Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021 Towards Multi-Grained Explainability for Graph Neural Networks NeurIPS 2021 Towards Multi-Modal Text-Image Retrieval to improve Human Reading NAACL 2021 Towards Multi-Scale Style Control for Expressive Speech Synthesis Interspeech 2021 Towards Navigation by Reasoning over Spatial Configurations ACL 2021 Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding ICLR 2021