{"list":"other","total":89,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"2407.21783","title":"The Llama 3 Herd of Models","created":"2024-07-31","cited_by_count":14715},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"2205.11487","title":"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding","created":"2022-05-23","cited_by_count":6355},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1711.00937","title":"Neural Discrete Representation Learning","created":"2017-11-02","cited_by_count":4712},{"id":"1810.00826","title":"How Powerful are Graph Neural Networks?","created":"2018-10-01","cited_by_count":4393},{"id":"1409.4842","title":"Going Deeper with Convolutions","created":"2014-09-17","cited_by_count":4241},{"id":"2304.03442","title":"Generative Agents: Interactive Simulacra of Human Behavior","created":"2023-04-07","cited_by_count":3568},{"id":"1704.01212","title":"Neural Message Passing for Quantum Chemistry","created":"2017-04-04","cited_by_count":3487},{"id":"2303.12712","title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4","created":"2023-03-22","cited_by_count":2592},{"id":"1311.2901","title":"Visualizing and Understanding Convolutional Networks","created":"2013-11-12","cited_by_count":2290},{"id":"2305.16291","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","created":"2023-05-25","cited_by_count":2191},{"id":"1803.10122","title":"World Models","created":"2018-03-27","cited_by_count":1513},{"id":"1609.08144","title":"Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation","created":"2016-09-26","cited_by_count":1475},{"id":"2006.10029","title":"Big Self-Supervised Models are Strong Semi-Supervised Learners","created":"2020-06-17","cited_by_count":1380},{"id":"1610.01644","title":"Understanding intermediate layers using linear classifier probes","created":"2016-10-05","cited_by_count":1353},{"id":"1912.06680","title":"Dota 2 with Large Scale Deep Reinforcement Learning","created":"2019-12-13","cited_by_count":1103},{"id":"2202.04200","title":"MaskGIT: Masked Generative Image Transformer","created":"2022-02-08","cited_by_count":1099},{"id":"2301.08243","title":"Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture","created":"2023-01-19","cited_by_count":1039},{"id":"2205.06175","title":"A Generalist Agent","created":"2022-05-12","cited_by_count":808},{"id":"1610.02415","title":"Automatic chemical design using a data-driven continuous representation of molecules","created":"2016-10-07","cited_by_count":765},{"id":"2004.04136","title":"CURL: Contrastive Unsupervised Representations for Reinforcement Learning","created":"2020-04-08","cited_by_count":760},{"id":"1509.09292","title":"Convolutional Networks on Graphs for Learning Molecular Fingerprints","created":"2015-09-30","cited_by_count":754},{"id":"2402.15391","title":"Genie: Generative Interactive Environments","created":"2024-02-23","cited_by_count":747},{"id":"2006.08218","title":"Self-supervised Learning: Generative or Contrastive","created":"2020-06-15","cited_by_count":694},{"id":"2003.03033","title":"What is the State of Neural Network Pruning?","created":"2020-03-06","cited_by_count":583},{"id":"2011.00362","title":"A Survey on Contrastive Self-supervised Learning","created":"2020-10-31","cited_by_count":554},{"id":"1703.00810","title":"Opening the Black Box of Deep Neural Networks via Information","created":"2017-03-02","cited_by_count":503},{"id":"2410.11758","title":"Latent Action Pretraining from Videos","created":"2024-10-15","cited_by_count":321},{"id":"1901.06314","title":"Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data","created":"2019-01-18","cited_by_count":262},{"id":"2006.11371","title":"Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey","created":"2020-06-16","cited_by_count":254},{"id":"2305.13655","title":"LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models","created":"2023-05-23","cited_by_count":243},{"id":"2205.15241","title":"Multi-Game Decision Transformers","created":"2022-05-30","cited_by_count":214},{"id":"2001.02908","title":"Spatial-Temporal Transformer Networks for Traffic Flow Forecasting","created":"2020-01-09","cited_by_count":180},{"id":"1507.08750","title":"Action-Conditional Video Prediction using Deep Networks in Atari Games","created":"2015-07-31","cited_by_count":172},{"id":"2106.08962","title":"Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better","created":"2021-06-16","cited_by_count":154},{"id":"1906.08226","title":"Unsupervised State Representation Learning in Atari","created":"2019-06-19","cited_by_count":144},{"id":"2310.04988","title":"The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations","created":"2023-10-08","cited_by_count":131},{"id":"2404.02039","title":"A Survey on Large Language Model-Based Game Agents","created":"2024-04-02","cited_by_count":112},{"id":"2402.18659","title":"Large Language Models and Games: A Survey and Roadmap","created":"2024-02-28","cited_by_count":93},{"id":"2308.05095","title":"LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation","created":"2023-08-09","cited_by_count":92},{"id":"2010.04548","title":"Deep Learning for Procedural Content Generation","created":"2020-10-09","cited_by_count":73},{"id":"2007.00753","title":"Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey","created":"2020-07-01","cited_by_count":72},{"id":"2106.03894","title":"Differentiable Quality Diversity","created":"2021-06-07","cited_by_count":72},{"id":"2404.10179","title":"Scaling Instructable Agents Across Many Simulated Worlds","created":"2024-03-13","cited_by_count":71},{"id":"2302.05981","title":"MarioGPT: Open-Ended Text2Level Generation through Large Language Models","created":"2023-02-12","cited_by_count":64},{"id":"1908.05823","title":"A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems","created":"2019-08-16","cited_by_count":59},{"id":"2404.13813","title":"From LLM to NMT: Advancing Low-Resource Machine Translation with Claude","created":"2024-04-22","cited_by_count":58},{"id":"2306.02572","title":"Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence","created":"2023-06-05","cited_by_count":56},{"id":"1910.04443","title":"Misbehaviour Prediction for Autonomous Driving Systems","created":"2019-10-10","cited_by_count":55},{"id":"2411.07191","title":"The Super Weight in Large Language Models","created":"2024-11-11","cited_by_count":52},{"id":"1907.04053","title":"Procedural Content Generation through Quality Diversity","created":"2019-07-09","cited_by_count":45},{"id":"2112.03763","title":"Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning","created":"2021-12-07","cited_by_count":40},{"id":"2206.04199","title":"Deep Surrogate Assisted Generation of Environments","created":"2022-06-09","cited_by_count":40},{"id":"2103.08737","title":"Growing 3D Artefacts and Functional Machines with Neural Cellular Automata","created":"2021-03-15","cited_by_count":38},{"id":"2109.05489","title":"Illuminating Diverse Neural Cellular Automata for Level Generation","created":"2021-09-12","cited_by_count":35},{"id":"1708.07902","title":"Deep Learning for Video Game Playing","created":"2017-08-25","cited_by_count":30},{"id":"2407.00737","title":"LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation","created":"2024-06-30","cited_by_count":30},{"id":"2101.05337","title":"A Survey on Simulators for Testing Self-Driving Cars","created":"2021-01-13","cited_by_count":27},{"id":"2112.03534","title":"Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding","created":"2021-12-07","cited_by_count":26},{"id":"2403.02613","title":"Large Language Models and Video Games: A Preliminary Scoping Review","created":"2024-03-05","cited_by_count":23},{"id":"2211.11417","title":"DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata","created":"2022-11-21","cited_by_count":18},{"id":"2309.16459","title":"Augmenting LLMs with Knowledge: A survey on hallucination prevention","created":"2023-09-28","cited_by_count":16},{"id":"1907.02288","title":"From Pixels to Affect: A Study on Games and Player Experience","created":"2019-07-04","cited_by_count":14},{"id":"2304.13269","title":"Games for Artificial Intelligence Research: A Review and Perspectives","created":"2023-04-26","cited_by_count":14},{"id":"2111.13545","title":"$\\mu$NCA: Texture Generation with Ultra-Compact Neural Cellular Automata","created":"2021-11-26","cited_by_count":13},{"id":"1903.01000","title":"Self-Supervised Learning of Face Representations for Video Face Clustering","created":"2019-03-03","cited_by_count":11},{"id":"2106.10060","title":"Contrastive Learning of Generalized Game Representations","created":"2021-06-18","cited_by_count":11},{"id":"2309.10371","title":"Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs","created":"2023-09-19","cited_by_count":11},{"id":"2311.02820","title":"Mesh Neural Cellular Automata","created":"2023-11-06","cited_by_count":11},{"id":"2010.01685","title":"Entity Embedding as Game Representation","created":"2020-10-04","cited_by_count":8},{"id":"2406.05872","title":"STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models","created":"2024-06-09","cited_by_count":8},{"id":"2103.11726","title":"SuSketch: Surrogate Models of Gameplay as a Design Assistant","created":"2021-03-22","cited_by_count":6},{"id":"2206.06490","title":"Learning Task-Independent Game State Representations from Unlabeled Images","created":"2022-06-13","cited_by_count":6},{"id":"2402.01335","title":"BehAVE: Behaviour Alignment of Video Game Encodings","created":"2024-02-02","cited_by_count":5},{"id":"2307.11141","title":"Towards General Game Representations: Decomposing Games Pixels into Content and Style","created":"2023-07-20","cited_by_count":3},{"id":"2207.01289","title":"Game State Learning via Game Scene Augmentation","created":"2022-07-04","cited_by_count":2},{"id":"2407.20382","title":"What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models","created":"2024-07-29","cited_by_count":2},{"id":"1307.3195","title":"Action-based Character AI in Video-games with CogBots Architecture: A Preliminary Report","created":"2013-07-11","cited_by_count":1},{"id":"2103.15451","title":"Pairing Character Classes in a Deathmatch Shooter Game via a Deep-Learning Surrogate Model","created":"2021-03-29","cited_by_count":1},{"id":"2309.14364","title":"Automata Quest: NCAs as a Video Game Life Mechanic","created":"2023-09-23","cited_by_count":1}],"next_cursor":null}