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| Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum Akuen Akoi Deng ⋆[0009-0007-6228-3340] , Eimantas Butkus ⋆[0009-0001-5647-0779] , Alfreds Lapkovskis [0009-0003-4424-949X] , and added by Syntology |
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| Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization |
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| Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora |
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| PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds |
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| High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study |
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| Second-Order Forward-Mode Automatic Differentiation for Optimization |
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| Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data |
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| 3D Geometric Shape Assembly via Efficient Point Cloud Matching |
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| Generalization Error Matters in Decentralized Learning Under Byzantine Attacks |
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| How Do Large Language Models Acquire Factual Knowledge During Pretraining? |
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| BlockPruner: Fine-grained Pruning for Large Language Models |
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| Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation |
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| Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation |
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| Evolutionary Optimization of Model Merging Recipes |
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| Learning to Use Tools via Cooperative and Interactive Agents |
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| Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal |
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| VRP-SAM: SAM with Visual Reference Prompt |
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| Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation |
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| A Comprehensive Evaluation of Quantization Strategies for Large Language Models |
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| Pan-Mamba: Effective pan-sharpening with State Space Model |
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| Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference |
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| Hydragen: High-Throughput LLM Inference with Shared Prefixes |
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| Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration |
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| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement |
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| Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation |
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| PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning |
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| Instruction-Following Evaluation for Large Language Models |
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| Unexpected Improvements to Expected Improvement for Bayesian Optimization |
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| BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds |
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| LAiW: A Chinese Legal Large Language Models Benchmark |
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| Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata |
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| RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network |
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| Robust Multi-Agent Reinforcement Learning with State Uncertainty |
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| Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback |
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| ChessGPT: Bridging Policy Learning and Language Modeling |
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| Do prompt positions really matter? |
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| LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation |
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songw-zju/LiDAR2Map/map/model/loss/Lovasz_Softmax.py 80b5a150c6e092f7 |
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| Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams |
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| RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous Driving |
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OrangeSodahub/CRLFnet/src/site_model/src/LidCamFusion/vis.py b38eacd724df1456 |
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| Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks |
11 Jan 2023 |
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| Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks |
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| Robust Meta-Representation Learning via Global Label Inference and Classification |
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| What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? |
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susanbao/rmarl_code/rmarl/maddpg/common/tf_util.py 8ebadf88476f8efe |
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| COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation |
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| MCTensor: A High-Precision Deep Learning Library with Multi-Component Floating-Point |
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| USHER: Unbiased Sampling for Hindsight Experience Replay |
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| FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation |
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matrixgame2018/FEANet/loss_hub/losses/lovasz.py ab905d7b509bc70c |
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| A Few More Examples May Be Worth Billions of Parameters |
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yuvalkirstain/lm-evaluation-harness/lm_eval/metrics.py 0928f497e20fb443 |
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| A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation |
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| Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling |
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| Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models |
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| Principled Exploration via Optimistic Bootstrapping and Backward Induction |
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| Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances |
4 Apr 2021 |
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| Learning Optimal Representations with the Decodable Information Bottleneck |
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| Measuring Massive Multitask Language Understanding |
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| TIDE: A General Toolbox for Identifying Object Detection Errors |
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| Geometric compression of invariant manifolds in neural nets |
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| Learning to Compose Hypercolumns for Visual Correspondence |
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| Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes |
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YannDubs/Neural-Process-Family/utils/helpers.py 1ba480fa4f850c03 |
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| Interpretations are useful: penalizing explanations to align neural networks with prior knowledge |
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| The FAST Algorithm for Submodular Maximization |
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| Bayesian Optimisation over Multiple Continuous and Categorical Inputs |
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rubinxin/CoCaBO_code/utils/probability.py 1d129b821885a91c |
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| Distributed Prioritized Experience Replay |
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uber-research/ape-x/tf_util.py 3dc7f82ede7de679 |
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| Semi-parametric Topological Memory for Navigation |
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| Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight |
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| Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments |
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| In Defense of the Triplet Loss for Person Re-Identification |
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AsuradaYuci/tripletreid-zhushi/aggregators.py 3d7c7885af720b02 |
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| U-Net: Convolutional Networks for Biomedical Image Segmentation |
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| arXiv:openreview_g9G7qyAzki |
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| arXiv:2025.naacl-long.237 |
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