Papers
Sun 18 Sep 2022
79 papers
- Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision ProcessesOffline RL and imitation learning from data → Offline RL algorithms
- Improving the Performance of DNN-based Software Services using Automated Layer CachingEfficient LLM inference and serving → KV cache optimization
- Membership Inference Attacks and Generalization: A Causal PerspectiveLLM safety and security → Membership inference attacks
- Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection
- Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling
- Siamese Network-based Lightweight Framework for Tomato Leaf Disease Recognition
- EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers
- Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems
- Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques
- Multi-level Explanation of Deep Reinforcement Learning-based Scheduling
- Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization
- Towards Robust Off-Policy Evaluation via Human Inputs
- Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection
- HiPart: Hierarchical Divisive Clustering Toolbox
- Dynamic Global Memory for Document-level Argument Extraction
- Semantic Segmentation using Neural Ordinary Differential Equations
- Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?
- Learn the Time to Learn: Replay Scheduling in Continual Learning
- Online Regenerative Learning
- Enabling Conversational Interaction with Mobile UI using Large Language Models
- Through a fair looking-glass: mitigating bias in image datasets
- Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
- DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs
- Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach
- Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
- CNN based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation
- RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning
- Is Stochastic Gradient Descent Near Optimal?
- Improving Topic Segmentation by Injecting Discourse Dependencies
- The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
- Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data
- PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems
- Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
- Comparative study of machine learning and deep learning methods on ASD classification
- ASAP: Adaptive Scheme for Asynchronous Processing of Event-based Vision Algorithms
- Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties
- RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
- Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
- SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
- A Computational Model of Learning Flexible Navigation in a Maze by Layout-Conforming Replay of Place Cells
- ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
- MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors
- Perception-Distortion Trade-off in the SR Space Spanned by Flow Models
- Pairwise independent correlation gap
- Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
- ActiveNeRF: Learning where to See with Uncertainty Estimation
- Distribution inference risks: Identifying and mitigating sources of leakage
- RDD2022: A multi-national image dataset for automatic Road Damage Detection
- SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection
- Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
- Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
- A Benchmark for Understanding and Generating Dialogue between Characters in Stories
- A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization
- VisTaNet: Attention Guided Deep Fusion for Surface Roughness Classification
- Imbalanced Node Processing Method in Graph Neural Network Classification Task
- Infrared: A Meta Bug Detector
- Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
- A Map-matching Algorithm with Extraction of Multi-group Information for Low-frequency Data
- LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF
- Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep Learning in a Supercomputing Environment
- EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
- Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
- Bootstrap Generalization Ability from Loss Landscape Perspective
- GaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition
- Human Performance Modeling and Rendering via Neural Animated Mesh
- Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data
- Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
- Random Fourier Features for Asymmetric Kernels
- StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks
- Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO
- TODE-Trans: Transparent Object Depth Estimation with Transformer
- EMaP: Explainable AI with Manifold-based Perturbations
- MetaDIP: Accelerating Deep Image Prior with Meta Learning
- NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
- SDFE-LV: A Large-Scale, Multi-Source, and Unconstrained Database for Spotting Dynamic Facial Expressions in Long Videos
- HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
- Estimating and Explaining Model Performance When Both Covariates and Labels Shift
- Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
- Evolution of a Web-Scale Near Duplicate Image Detection System