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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)

Data Augmentations for Improved (Large) Language Model Generalization NeurIPS 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 DataComp: In search of the next generation of multimodal datasets NeurIPS 2023 Data Curation Alone Can Stabilize In-context Learning ACL 2023 Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System AAAI 2023 Data-driven memory-dependent abstractions of dynamical systems L4DC 2023 Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract) IJCAI 2023 DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ACL 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023 Dataless Knowledge Fusion by Merging Weights of Language Models ICLR 2023 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023 Data Pruning for Efficient Model Pruning in Neural Machine Translation EMNLP 2023 Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023 Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond EMNLP 2023 Data Valuation Without Training of a Model ICLR 2023 DATE: Domain Adaptive Product Seeker for E-Commerce CVPR 2023 DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control CoRL 2023 DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes EACL 2023 DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations WACV 2023 D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias ACL 2023 DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer Interspeech 2023 DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability ICLR 2023 D-CIPHER: Discovery of Closed-form Partial Differential Equations NeurIPS 2023 DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability SemEval 2023