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- Continual Backprop: Stochastic Gradient Descent with Persistent Randomness (2021)
- Deep Reinforcement Learning with Plasticity Injection (2023)
- Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)
- Generalization in reinforcement learning: safely approximating the value function (1994)
- Machine Learning for Mealtime Blood Glucose Prediction in Hospitalized, Type 2 Diabetes Patients (2024)
- Plant Longevity and Protein Aggregation: A Possible Correlation Between Chaperones and Longevity (2022)
- PCIP - Protein Complex and Interaction Prediction Database (2009)
- LLMs for AEC Code and Spec Review (2024)
- Budgeted Active Learning for Ultrasound Image Segmentation (2024)
- Visual Stimuli Reconstruction from Multi-subject fMRI data using Classifier-guided Diffusion (2024)
- Applications of Search-based Methods and Reinforcement Learning in 3D GridWorld Construction (2024)
- Effects of Environmental Changes on Agent Memory Usage (2024)
- Theming City of Edmonton Engagement Data (2024)
- Heatmapper: web-enabled heat mapping for all (2016)
- The cascade-correlation learning architecture (1990)
- Strengths, Weaknesses, and Combinations of Model-based and Model-free Reinforcement Learning (2015)
- Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding (1995)
- A graph placement methodology for fast chip design (2021)
- Prediction and Control in Continual Reinforcement Learning (2023)
- PubTator 3.0: an AI-powered Literature Resource for Unlocking Biomedical Knowledge (2024)
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (2022)
- An integrative knowledge graph for rare diseases, derived from the Genetic and Rare Diseases Information Center (GARD) (2020)
- G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering (2024)
- Biomedical knowledge graph-enhanced prompt generation for large language models (2023)
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (2020)
- Rare disease-based scientific annotation knowledge graph (2022)
- Large Language Models for Generative Information Extraction: A Survey (2023)
- Structured information extraction from complex scientific text with fine-tuned large language models (2022)
- Investigating the Properties of Neural Network Representations in Reinforcement Learning (2022)
- GVFs in the real world: making predictions online for water treatment (2023)
- Loss of Plasticity in Continual Deep Reinforcement Learning (2023)
- Measuring and Mitigating Interference in Reinforcement Learning (2023)
- Seven technologies to watch in 2024 (2024)
- Reward-respecting subtasks for model-based reinforcement learning (2023)
- Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement (2018)
- No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL (2022)
- Empirical Design in Reinforcement Learning (2023)
- CELL-E 2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer (2023)
- CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction (2022)
- The Law of Accelerating Returns (2004)
- AI under the microscope: the algorithms powering the search for cells (2023)
- Highly accurate protein structure prediction with AlphaFold (2021)
- Improved protein structure prediction using potentials from deep learning (2020)
- Did our ancestors nearly die out? (2023)
- 'Democracy in microscopy': cheap light microscope delivers super-resolution images (2023)
- Visual space task specification, planning and control (1995)
- Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning (2022)
- Residual Reinforcement Learning for Robot Control (2018)
- The Unreasonable Effectiveness of Data (2009)
- Generalizable task representation learning from human demonstration videos: a geometric approach (2022)
- Jump-Start Reinforcement Learning (2022)
- Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress (2022)
- Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey (2020)
- Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control (2021)
- Visual servo control. I. Basic approaches (2006)
- Community-Wide Evaluation of Computational Function Prediction (2016)
- A ( not so ) Quick Introduction to Protein Function Prediction (2013)
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (2022)
- Model-based and model-free reinforcement learning for visual servoing (2009)
- Global visual-motor estimation for uncalibrated visual servoing (2007)
- Experimental evaluation of uncalibrated visual servoing for precision manipulation (1997)
- A Neural Probabilistic Language Model (2003)
- Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control (2015)
- Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers (2022)
- Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots (2022)
- Distilling the Knowledge in a Neural Network (2015)
- LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention (2023)
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research (2018)
- Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning (2023)
- Attention Is All You Need (2017)
- Modular tracking framework: A fast library for high precision tracking (2017)
- The Alberta Plan for AI Research (2022)
- Forecasting COVID-19 Using Latent Subpopulations (2023)
- Maternal uniparental disomy of chromosome 7 underlying argininosuccinic aciduria and Silver-Russell syndrome (2022)
- Automatic Panoramic Image Stitching using Invariant Features (2006)
- Prevention of muscular dystrophy in mice by CRISPR/Cas9–mediated editing of germline DNA (2014)
- Centromeres (2016)
- ORB-SLAM: A Versatile and Accurate Monocular SLAM System (2015)
- How to Use t-SNE Effectively (2016)
- You Only Look Once: Unified, Real-Time Object Detection (2015)
- A humanized knockin mouse model of Duchenne muscular dystrophy and its correction by CRISPR-Cas9 therapeutic gene editing (2022)
- Disruption of the Responsible Gene in a Phosphoglucomutase 1 Deficiency Patient by Homozygous Chromosomal Inversion (2018)
- USB: A Unified Semi-supervised Learning Benchmark for Classification (2022)
- The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study (2006)
- Olive Disease Classification Based on Vision Transformer and CNN Models (2022)
- Visual Transformers and Convolutional Neural Networks for Disease Classification on Radiographs: A Comparison of Performance, Sample Efficiency, and Hidden Stratification (2022)
- Insights on repetitive DNA behavior in two species of Ctenus~Walckenaer, 1805 and Guasuctenus Polotow and Brescovit, 2019 (Araneae, Ctenidae): Evolutionary profile of H3 histone, 18S rRNA genes and heterochromatin distribution (2020)
- A 6Mb deletion in band 2q22 due to a complex chromosome rearrangement associated with severe psychomotor retardation, microcephaly and distinctive dysmorphic facial features (2007)
- A multi-state occupancy model to non-invasively monitor visible signs of wildlife health with camera traps that accounts for image quality (2021)
- Understanding the state of the Art in Animal detection and classification using computer vision technologies (2021)
- An Autosomal Translocation 73, XY, t(12;20)(q11;q11) in an Infertile Male Llama (Lama glama) With Teratozoospermia (2019)
- Using Object Detection Models to Identify and Count Arctic Wildlife (2022)
- Mastering the game of Stratego with model-free multiagent reinforcement learning (2022)
- Suphx: Mastering Mahjong with Deep Reinforcement Learning (2020)
- A Survey of Monte Carlo Tree Search Methods (2012)
- Mastering Atari, Go, chess and shogi by planning with a learned model (2020)
- Mastering the game of Go without human knowledge (2017)
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (2018)
- Mastering the game of Go with deep neural networks and tree search (2016)
- Training Deep Convolutional Neural Networks to Play Go (2015)
- Move Evaluation in Go Using Deep Convolutional Neural Networks (2014)
- Computing Elo Ratings of Move Patterns in the Game of Go (2007)
- Solving Go On Small Boards (2003)
- A Few Useful Things to Know about Machine Learning (2012)
- Checkers Is Solved (2007)
- Terence Tao (1984)
- Sequence logos: a new way to display consensus sequences (1990)
- Reinforcement Renaissance (2016)
- Reward is enough (2021)
- Loss of α-actinin-3 during human evolution provides superior cold resilience and muscle heat generation (2021)
- Bi-allelic loss-of-function variants in BCAS3 cause a syndromic neurodevelopmental disorder (2021)
- Genetic regulatory mechanisms in the synthesis of proteins (1961)
- The expanding polymerase universe (2000)
- The Bitter Lesson (2019)
- CRISPR/Cas9-mediated gene editing in human tripronuclear zygotes (2015)
- Genome engineering using the CRISPR-Cas9 system (2013)
- THE GENETIC CODE: III (1966)
- THE GENETIC CODE (1962)
- DNA cloning: A personal view after 40 years (2013)
- Nucleotide Sequence Specificity of Restriction Endonucleases (1979)
- Promotion and Limitation of Genetic Exchange (1978)
- The fine structure of the gene (1962)
- Building a Bacterial Virus (1967)
- Teaching more by lecturing less (2005)
- The Genetics of a Bacterial Virus (1965)
- Genetical Implications of the Structure of Deoxyribonucleic Acid (1953)