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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 Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization ACL 2023 Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023 Towards Robust Ranker for Text Retrieval ACL 2023 Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games AAAI 2023 Towards Safe and Resilient Autonomy in Multi-Robot Systems AAAI 2023 Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract) AAAI 2023 Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures EMNLP 2023 Towards Scalable Coverage-Based Testing of Autonomous Vehicles CoRL 2023 Towards Self-Interpretable Graph-Level Anomaly Detection NeurIPS 2023 Towards Societal Impact of AI AAAI 2023 Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis Interspeech 2023 Towards Stable Backdoor Purification through Feature Shift Tuning NeurIPS 2023 Towards Supporting an Early Diagnosis of Multiple Sclerosis using Vocal Features Interspeech 2023 Towards Test-Time Refusals via Concept Negation NeurIPS 2023 Towards Transferable Targeted Adversarial Examples CVPR 2023 Toward Stronger Textual Attack Detectors EMNLP 2023 Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision CVPR 2023 Towards Trustworthy Explanation: On Causal Rationalization ICML 2023 Towards Ultrasound Tongue Image prediction from EEG during speech production Interspeech 2023 Towards Unbounded Machine Unlearning NeurIPS 2023 Towards Understanding Omission in Dialogue Summarization ACL 2023 Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View ICCV 2023 Towards Unified, Explainable, and Robust Multisensory Perception AAAI 2023 Towards Unified Scene Text Spotting Based on Sequence Generation CVPR 2023 Towards Unified Spoken Language Understanding Decoding via Label-aware Compact Linguistics Representations ACL 2023