{"total":33,"rows":[{"id":"2309.05569","title":"ITI-GEN: Inclusive Text-to-Image Generation","created":"2023-09-11","cited_by_count":64,"area":null},{"id":"2202.00155","title":"Fortuitous Forgetting in Connectionist Networks","created":"2022-02-01","cited_by_count":39,"area":null},{"id":"2403.18551","title":"Attention Calibration for Disentangled Text-to-Image Personalization","created":"2024-03-27","cited_by_count":31,"area":null},{"id":"2105.01119","title":"Iterated learning for emergent systematicity in VQA","created":"2021-05-03","cited_by_count":21,"area":null},{"id":"2111.12172","title":"Multi-label Iterated Learning for Image Classification with Label Ambiguity","created":"2021-11-23","cited_by_count":19,"area":null},{"id":"2406.01860","title":"Eliciting the Priors of Large Language Models using Iterated In-Context Learning","created":"2024-06-04","cited_by_count":19,"area":null},{"id":"2312.04966","title":"NewMove: Customizing text-to-video models with novel motions","created":"2023-12-07","cited_by_count":18,"area":null},{"id":"2404.04286","title":"Bias Amplification in Language Model Evolution: An Iterated Learning Perspective","created":"2024-04-04","cited_by_count":17,"area":null},{"id":"2310.18777","title":"Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings","created":"2023-10-28","cited_by_count":15,"area":null},{"id":"2109.06232","title":"The Emergence of the Shape Bias Results from Communicative Efficiency","created":"2021-09-13","cited_by_count":13,"area":null},{"id":"2308.02541","title":"Towards More Human-like AI Communication: A Review of Emergent Communication Research","created":"2023-08-01","cited_by_count":13,"area":null},{"id":"2504.02612","title":"Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation","created":"2025-04-03","cited_by_count":13,"area":null},{"id":"2301.13083","title":"Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off","created":"2023-01-30","cited_by_count":12,"area":null},{"id":"2405.20271","title":"ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections","created":"2024-05-30","cited_by_count":12,"area":null},{"id":"2110.14241","title":"Dynamic population-based meta-learning for multi-agent communication with natural language","created":"2021-10-27","cited_by_count":10,"area":null},{"id":"2104.07219","title":"Multitasking Inhibits Semantic Drift","created":"2021-04-15","cited_by_count":8,"area":null},{"id":"2307.05468","title":"My3DGen: A Scalable Personalized 3D Generative Model","created":"2023-07-11","cited_by_count":8,"area":null},{"id":"2110.12916","title":"On Slowly-varying Non-stationary Bandits","created":"2021-10-25","cited_by_count":7,"area":null},{"id":"2403.20231","title":"U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation","created":"2024-03-29","cited_by_count":7,"area":null},{"id":"2401.08808","title":"lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning","created":"2024-01-16","cited_by_count":6,"area":null},{"id":"2504.13162","title":"Personalized Text-to-Image Generation with Auto-Regressive Models","created":"2025-04-17","cited_by_count":6,"area":null},{"id":"2403.11958","title":"Language Evolution with Deep Learning","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2411.14521","title":"MyTimeMachine: Personalized Facial Age Transformation","created":"2024-11-21","cited_by_count":5,"area":null},{"id":"2207.07025","title":"Learning to translate by learning to communicate","created":"2022-07-14","cited_by_count":4,"area":null},{"id":"2505.05970","title":"Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models","created":"2025-05-09","cited_by_count":4,"area":null},{"id":"2104.03309","title":"Streaming Self-Training via Domain-Agnostic Unlabeled Images","created":"2021-04-07","cited_by_count":3,"area":null},{"id":"2405.20818","title":"An iterated learning model of language change that mixes supervised and unsupervised learning","created":"2024-05-31","cited_by_count":3,"area":null},{"id":"2412.15674","title":"PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium","created":"2024-12-20","cited_by_count":3,"area":null},{"id":"2512.19661","title":"Over++: Generative Video Compositing for Layer Interaction Effects","created":"2025-12-22","cited_by_count":3,"area":null},{"id":"2109.09371","title":"Learning Natural Language Generation from Scratch","created":"2021-09-20","cited_by_count":2,"area":null},{"id":"2405.20620","title":"\"Forgetting\" in Machine Learning and Beyond: A Survey","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2206.01251","title":"Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods","created":"2022-06-02","cited_by_count":0,"area":null},{"id":"2606.10582","title":"Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}