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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 Objectively Evaluating the Quality of Generated Medical Summaries EACL 2021 Towards Open World Object Detection CVPR 2021 Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation NeurIPS 2021 Towards Personalised and Document-level Machine Translation of Dialogue EACL 2021 Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021 Towards Quantifiable Dialogue Coherence Evaluation ACL 2021 Towards Reducing Biases in Combining Multiple Experts Online IJCAI 2021 Towards Rigorous Interpretations: a Formalisation of Feature Attribution ICML 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Towards Robustness Against Natural Language Word Substitutions ICLR 2021 Towards Robustness of Deep Neural Networks via Regularization ICCV 2021 Towards Robustness of Text-to-SQL Models against Synonym Substitution ACL 2021 Towards Robust Neural Networks via Close-loop Control ICLR 2021 Towards robust vision by multi-task learning on monkey visual cortex NeurIPS 2021 Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021 Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching IJCAI 2021 Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI 2021 Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter NAACL 2021 Towards the Explainability of Multimodal Speech Emotion Recognition Interspeech 2021 Towards the Prediction of the Vocal Tract Shape from the Sequence of Phonemes to be Articulated Interspeech 2021 Towards the Unification and Robustness of Perturbation and Gradient Based Explanations ICML 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NeurIPS 2021 Towards Unified Surgical Skill Assessment CVPR 2021 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NeurIPS 2021 Towards User-Driven Neural Machine Translation ACL 2021