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Identification by Fusion of Multiple Classifiers using\n Statistical Learning Theory"] [8.782227516174316, -0.04225664585828781, "Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural\n Network"] [9.102930068969727, 0.7807449698448181, "Improving the Interpretability of Deep Neural Networks with Knowledge\n Distillation"] [12.431800842285156, 1.6367793083190918, "Learning to Scan: A Deep Reinforcement Learning Approach for\n Personalized Scanning in CT Imaging"] [12.13615608215332, 3.1574361324310303, "Horde of Bandits using Gaussian Markov Random Fields"] [12.202066421508789, 2.265793561935425, "Learning Generalized Relational Heuristic Networks for Model-Agnostic\n Planning"] [9.484460830688477, -0.3639802634716034, "RTN: Reparameterized Ternary Network"] [11.097834587097168, 3.553879737854004, "Variance reduction properties of the reparameterization trick"] [11.551643371582031, 0.2283991128206253, "Robustness to Adversarial Attacks in Learning-Enabled Controllers"] 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3.001091480255127, "A Local Information Criterion for Dynamical Systems"] [12.27900218963623, 2.3958547115325928, "Dimensionality Reduction and Prioritized Exploration for Policy Search"] [10.137350082397461, 4.569145202636719, "Dimensionality Reduction has Quantifiable Imperfections: Two Geometric\n Bounds"] [6.804912090301514, 0.2030719667673111, "TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases"] [9.028718948364258, 3.425351142883301, "Fast Feature Reduction in intrusion detection datasets"] [8.523360252380371, 1.9264789819717407, "The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A\n Prototype Demonstration Reaching Human Expert-level Performance"] [12.485912322998047, 2.033637523651123, "The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret\n and Policy Switches"] [9.28520679473877, 0.12233041226863861, "Structured Convolution Matrices for Energy-efficient Deep learning"] [8.155696868896484, 3.245731830596924, 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Research Trends with Semantic and Neural Networks with an\n application in Quantum Physics"] [9.545919418334961, 3.5994746685028076, "Robust Near-Isometric Matching via Structured Learning of Graphical\n Models"] [12.032103538513184, 2.818638801574707, "A Study of Gradient Descent Schemes for General-Sum Stochastic Games"] [7.224935531616211, 0.37916770577430725, "Deep-VFX: Deep Action Recognition Driven VFX for Short Video"] [6.890890598297119, 0.10641242563724518, "Tracking Holistic Object Representations"] [9.435809135437012, 4.836493015289307, "A Simplified Framework for Air Route Clustering Based on ADS-B Data"] [12.014372825622559, 1.4174920320510864, "Inferring Personalized Bayesian Embeddings for Learning from\n Heterogeneous Demonstration"] [9.735368728637695, 3.1076560020446777, "Unsupervised Calibration under Covariate Shift"] [8.349870681762695, 0.08137136697769165, "DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models"] [8.906200408935547, 2.965703010559082, 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propagation"] [8.90147590637207, 3.9020211696624756, "Multi-Class Classification from Noisy-Similarity-Labeled Data"] [7.968186855316162, 2.5785837173461914, "Enforcing Reasoning in Visual Commonsense Reasoning"] [9.219914436340332, 4.590393543243408, "A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and\n Future Directions"] [7.237363815307617, 0.8206993937492371, "B-Script: Transcript-based B-roll Video Editing with Recommendations"] [8.976163864135742, 3.932487726211548, "Identifying Mislabeled Instances in Classification Datasets"] [8.746458053588867, 4.3329572677612305, "Vec2GC -- A Graph Based Clustering Method for Text Representations"] [10.845480918884277, 4.233675956726074, "A Frobenius norm regularization method for convolutional kernels to\n avoid unstable gradient problem"] [6.95576286315918, 2.7421622276306152, "Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment\n Classification Tasks"] [7.299896717071533, 0.5908327102661133, 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Tracking Under Uncertainty"] [10.308591842651367, 3.113785982131958, "Bayesian Optimization in Variational Latent Spaces with Dynamic\n Compression"] [10.994465827941895, 2.7121999263763428, "Risk-Monotonicity in Statistical Learning"] [12.573922157287598, 1.777595043182373, "Algorithmic Improvements for Deep Reinforcement Learning applied to\n Interactive Fiction"] [7.1405158042907715, 2.006671905517578, "You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate\n Speech Detection"] [9.472795486450195, 1.756182074546814, "Explainable Tensorized Neural Ordinary Differential Equations\n forArbitrary-step Time Series Prediction"] [7.038451194763184, 2.761331796646118, "Sentence Embeddings in NLI with Iterative Refinement Encoders"] [9.54726791381836, 0.9776937365531921, "A Deep Learning Approach for Predicting Two-dimensional Soil\n Consolidation Using Physics-Informed Neural Networks (PINN)"] [9.574262619018555, 2.6863250732421875, "Combining Human Predictions with Model Probabilities via Confusion\n Matrices and Calibration"] [9.903989791870117, 4.2060041427612305, "Quantized Fisher Discriminant Analysis"] [6.482580661773682, 1.7909475564956665, "Unsupervised Feature Learning Based on Deep Models for Environmental\n Audio Tagging"] [8.236642837524414, 1.6987898349761963, "Application of Clinical Concept Embeddings for Heart Failure Prediction\n in UK EHR data"] [7.980178356170654, 2.611891746520996, "NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning\n Tasks"] [9.667609214782715, 4.775702476501465, "Computationally efficient sparse clustering"] [7.527782440185547, 2.8407540321350098, "A Vector Space for Distributional Semantics for Entailment"] [12.499438285827637, 2.086820125579834, "Learning Novel Policies For Tasks"] [10.635141372680664, 4.626667022705078, "Nonnegative Matrix Factorization Requires Irrationality"] [8.197637557983398, 2.6407525539398193, "Practical Approach of Knowledge Management in Medical Science"] 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3.552978038787842, "Learning Classifiers on Positive and Unlabeled Data with Policy Gradient"] [7.157470703125, 0.659363329410553, "Improving Video Instance Segmentation by Light-weight Temporal\n Uncertainty Estimates"] [8.499938011169434, 0.23868778347969055, "Nonlocal metasurfaces for spectrally decoupled wavefront manipulation\n and eye tracking"] [9.811017036437988, -0.460077702999115, "Compacting Neural Network Classifiers via Dropout Training"] [8.777730941772461, 1.3980034589767456, "CNN Explainer: Learning Convolutional Neural Networks with Interactive\n Visualization"] [6.938186168670654, 3.3922832012176514, "Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer"] [11.068541526794434, 2.3939483165740967, "Improving the convergence of SGD through adaptive batch sizes"] [7.881307601928711, 0.7223399877548218, "Weakly supervised semantic segmentation of tomographic images in the\n diagnosis of stroke"] [9.855920791625977, -0.3718327283859253, "When does gradient descent with logistic loss interpolate using deep\n networks with smoothed ReLU activations?"] [10.478466987609863, 0.4347032606601715, "Measurements of Three-Level Hierarchical Structure in the Outliers in\n the Spectrum of Deepnet Hessians"] [6.9822492599487305, 4.666240692138672, "GraphGallery: A Platform for Fast Benchmarking and Easy Development of\n Graph Neural Networks Based Intelligent Software"] [8.976357460021973, 1.1133389472961426, "Benchmarking Deep Learning Interpretability in Time Series Predictions"] [7.856562614440918, 2.2973928451538086, "Evaluating Pre-Trained Models for User Feedback Analysis in Software\n Engineering: A Study on Classification of App-Reviews"] [12.003762245178223, 2.6605827808380127, "Generalized Strategic Classification and the Case of Aligned Incentives"] [8.98745059967041, -0.49460703134536743, "Emergent properties of the local geometry of neural loss landscapes"] [9.76733684539795, 2.797574281692505, "Amortized Inference for Causal Structure 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Differentiable Augmentation Search"] [10.842904090881348, 3.5954432487487793, "Theoretically Motivated Data Augmentation and Regularization for\n Portfolio Construction"] [10.928384780883789, 2.9268476963043213, "Conditional Risk Minimization for Stochastic Processes"] [12.495119094848633, 1.8891783952713013, "Multibit Tries Packet Classification with Deep Reinforcement Learning"] [11.909185409545898, 2.359468460083008, "SeaPearl: A Constraint Programming Solver guided by Reinforcement\n Learning"] [8.958613395690918, 1.1473644971847534, "Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge\n Prediction"] [9.654425621032715, 1.658013105392456, "The Gene Mover's Distance: Single-cell similarity via Optimal Transport"] [9.48520565032959, 3.832937240600586, "Evaluation Metrics for Unsupervised Learning Algorithms"] [9.822225570678711, 0.808318555355072, "Dynamic detection of mobile malware using smartphone data and machine\n learning"] [8.340014457702637, 0.8022974729537964, "Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D\n Detection Network"] [6.88303804397583, 4.455092430114746, "Distance Metric Learning using Graph Convolutional Networks: Application\n to Functional Brain Networks"] [6.820108413696289, 4.619709491729736, "MaskGAE: Masked Graph Modeling Meets Graph Autoencoders"] [9.752995491027832, 1.7892718315124512, "Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model\n Inversion"] [9.136682510375977, -0.4793967008590698, "Morphological Network: How Far Can We Go with Morphological Neurons?"] [10.436686515808105, 1.778902292251587, "Bayesian Network Structure Learning Using Quantum Annealing"] [6.608674049377441, 0.1004486158490181, "Diarisation using location tracking with agglomerative clustering"] [7.042281150817871, 1.6532591581344604, "To Tune or Not to Tune? Adapting Pretrained Representations to Diverse\n Tasks"] [9.709882736206055, 4.641417026519775, "On The Radon-Nikodym Spectral Approach With Optimal Clustering"] [6.309638500213623, 1.4929245710372925, "WaveFlow: A Compact Flow-based Model for Raw Audio"] [10.34798526763916, 2.7258968353271484, "DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models"] [12.39155387878418, 1.327941656112671, "Self-Imitation Learning of Locomotion Movements through Termination\n Curriculum"] [8.290335655212402, 2.61771559715271, "PyTorch, Explain! A Python library for Logic Explained Networks"] [10.667386054992676, 4.206892490386963, "Regularized Finite Dimensional Kernel Sobolev Discrepancy"] [10.165464401245117, 3.348391056060791, "Beyond the EM Algorithm: Constrained Optimization Methods for Latent\n Class Model"] [10.109023094177246, 0.03472816199064255, "SpikeGrad: An ANN-equivalent Computation Model for Implementing\n Backpropagation with Spikes"] [8.305378913879395, 1.2291301488876343, "Applying a random projection algorithm to optimize machine learning\n model for predicting peritoneal metastasis in gastric cancer patients using\n CT images"] [10.658795356750488, 4.367683410644531, "Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization"] [11.20028018951416, 3.47672176361084, "Stochastic Variance-Reduced Cubic Regularized Newton Method"] [9.514121055603027, 0.8970939517021179, "Deep Hidden Physics Models: Deep Learning of Nonlinear Partial\n Differential Equations"] [9.955377578735352, 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Embeddings for Sentiment Analysis"] [7.996448993682861, -0.19859927892684937, "Analytical Probability Distributions and EM-Learning for Deep Generative\n Networks"] [11.11803150177002, 0.12479312717914581, "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models"] [7.365248203277588, 3.6033294200897217, "One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant\n Generative Adversarial Network"] [7.134448528289795, 1.132954478263855, "Contrastive Variational Autoencoder Enhances Salient Features"] [7.816378116607666, -0.25196215510368347, "ST-GAN: Spatial Transformer Generative Adversarial Networks for Image\n Compositing"] [7.749924182891846, -0.32314321398735046, "VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested\n Adversarial Network"] [11.276196479797363, 2.330000162124634, "Online Learning of Assignments that Maximize Submodular Functions"] [9.448118209838867, 0.20970988273620605, "Beyond 5G: Leveraging Cell Free TDD Massive MIMO 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Multi-modal Emotion Recognition"] [12.055785179138184, 3.2042672634124756, "Multi-Dueling Bandits and Their Application to Online Ranker Evaluation"] [6.334321975708008, 1.8906804323196411, "Spatial and spectral deep attention fusion for multi-channel speech\n separation using deep embedding features"] [12.462080001831055, 1.6392117738723755, "Accelerating Reinforcement Learning through Implicit Imitation"] [8.29565143585205, 0.38447651267051697, "A Multimodal Deep Network for the Reconstruction of T2W MR Images"] [9.1488037109375, 2.631664752960205, "A Free Lunch with Influence Functions? 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