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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 a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers NAACL 2021 Towards a Data Analytics Pipeline for the Visualisation of Complexity Metrics in L2 writings EACL 2021 Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR EACL 2021 Towards a Methodology Supporting Semiautomatic Annotation of HeadMovements in Video-recorded Conversations EMNLP 2021 Towards a more Robust Evaluation for Conversational Question Answering ACL 2021 Towards an Explainer-agnostic Conversational XAI IJCAI 2021 Towards Argument Mining for Social Good: A Survey ACL 2021 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021 Towards a unified framework for fair and stable graph representation learning UAI 2021 Towards a Unifying Framework for Formal Theories of Novelty AAAI 2021 Towards Automatic Bias Detection in Knowledge Graphs EMNLP 2021 Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach EMNLP 2021 Towards Automatic Speech to Sign Language Generation Interspeech 2021 Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021 Towards Benchmarking the Utility of Explanations for Model Debugging NAACL 2021 Towards Better Explanations of Class Activation Mapping ICCV 2021 Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021 Towards Code-Mixed Hinglish Dialogue Generation EMNLP 2021 Towards Compact CNNs via Collaborative Compression CVPR 2021 Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation ICCV 2021 Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field AAAI 2021 Towards Contextual Learning in Few-Shot Object Classification WACV 2021 Towards Detection and Remediation of Phonemic Confusion ACL 2021 Towards Distraction-Robust Active Visual Tracking ICML 2021 Towards Diverse Paragraph Captioning for Untrimmed Videos CVPR 2021