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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)

Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism AAAI 2021 TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph EMNLP 2021 Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? EMNLP 2021 Transformation Driven Visual Reasoning CVPR 2021 Transformer Feed-Forward Layers Are Key-Value Memories EMNLP 2021 Transformer Interpretability Beyond Attention Visualization CVPR 2021 Transformer protein language models are unsupervised structure learners ICLR 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021 Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors NAACL 2021 Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints IJCAI 2021 Translate the Facial Regions You Like Using Self-Adaptive Region Translation AAAI 2021 Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks EMNLP 2021 Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation EMNLP 2021 Transporting Causal Mechanisms for Unsupervised Domain Adaptation ICCV 2021 TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning AAAI 2021 TransVG: End-to-End Visual Grounding With Transformers ICCV 2021 TransView: Inside, Outside, and Across the Cropping View Boundaries ICCV 2021 TRAR: Routing the Attention Spans in Transformer for Visual Question Answering ICCV 2021 Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021 Trembling-Hand Perfection and Correlation in Sequential Games AAAI 2021 Tribrid: Stance Classification with Neural Inconsistency Detection EMNLP 2021 Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation ICCV 2021 Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction ACL 2021 TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021 Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization NAACL 2021