Papers
Fri 16 Sep 2022
180 papers
- Denoising Diffusion Error Correction CodesDiffusion models → Diffusion for compression and wireless
- Psychologically-informed chain-of-thought prompts for metaphor understanding in large language modelsLLM reasoning → Prompting and chain-of-thought reasoning
- A Biologically-Inspired Dual Stream World ModelWorld models → World models for navigation
- Continual Learning for Class- and Domain-Incremental Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement LearningOffline RL and imitation learning from data → Social robot navigation
- Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed MotionsOffline RL and imitation learning from data → Imitation learning methods
- Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible ScenariosLLM reasoning → Reasoning benchmarks and evaluation
- Text and Patterns: For Effective Chain of Thought, It Takes Two to TangoLLM reasoning → Prompting and chain-of-thought reasoning
- Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning
- NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Changing the Representation: Examining Language Representation for Neural Sign Language Production
- Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks
- Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
- PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions
- Evolving Complexity is Hard
- Survey on Fairness Notions and Related Tensions
- The effectiveness of factorization and similarity blending
- Assessment of cognitive characteristics in intelligent systems and predictive ability
- A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique
- De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks
- Application of Group Method of Data Handling and New Optimization Algorithms for Predicting Sediment Transport Rate under Vegetation Cover
- Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
- Optimized Design Method for Satellite Constellation Configuration Based on Real-time Coverage Area Evaluation
- Operationalizing Machine Learning: An Interview Study
- Deep tensor networks with matrix product operators
- Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
- Dataset Inference for Self-Supervised Models
- Artificial Intelligence for In Silico Clinical Trials: A Review
- Deep Labeling of fMRI Brain Networks Using Cloud Based Processing
- ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots
- Thompson Sampling with Virtual Helping Agents
- Lossless SIMD Compression of LiDAR Range and Attribute Scan Sequences
- PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation
- Linear TreeShap
- CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications
- LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations
- Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
- Mitigating Filter Bubbles within Deep Recommender Systems
- Cell Attention Networks
- OysterNet: Enhanced Oyster Detection Using Simulation
- Confidence-Guided Data Augmentation for Improved Semi-Supervised Training
- Covariance regression with random forests
- Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss
- Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
- Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning
- FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks
- Quantum Vision Transformers
- Belief Revision based Caption Re-ranker with Visual Semantic Information
- Uncertainty Quantification of Collaborative Detection for Self-Driving
- Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
- Automatic Tooth Segmentation from 3D Dental Model using Deep Learning: A Quantitative Analysis of what can be learnt from a Single 3D Dental Model
- Robust Ensemble Morph Detection with Domain Generalization
- Evons: A Dataset for Fake and Real News Virality Analysis and Prediction
- Comprehensively identifying Long Covid articles with human-in-the-loop machine learning
- An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning
- Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning
- Detecting Political Biases of Named Entities and Hashtags on Twitter
- Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning
- Noise transfer for unsupervised domain adaptation of retinal OCT images
- Non-invasive Localization of the Ventricular Excitation Origin Without Patient-specific Geometries Using Deep Learning
- Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising
- Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
- Skill Extraction from Job Postings using Weak Supervision
- A Systematic Evaluation of Node Embedding Robustness
- Self-Optimizing Feature Transformation
- Exploring the Whole Rashomon Set of Sparse Decision Trees
- DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
- Learning Policies for Continuous Control via Transition Models
- Detection of Interacting Variables for Generalized Linear Models via Neural Networks
- Interactions in Information Spread
- Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
- IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
- Transformer-based Detection of Multiword Expressions in Flower and Plant Names
- Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
- Stability and Generalization for Markov Chain Stochastic Gradient Methods
- Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling
- Self-Supervised Learning with an Information Maximization Criterion
- CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
- Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning
- Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
- A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
- Causal Fourier Analysis on Directed Acyclic Graphs and Posets
- Quantifying Discourse Support for Omitted Pronouns
- Towards Bridging the Performance Gaps of Joint Energy-based Models
- Malicious Source Code Detection Using Transformer
- StyleGAN Encoder-Based Attack for Block Scrambled Face Images
- SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data
- User Guided Abductive Proof Generation for Answer Set Programming Queries (Extended Version)
- Omni-Dimensional Dynamic Convolution
- Traffic Congestion Prediction using Deep Convolutional Neural Networks: A Color-coding Approach
- DPFNet: A Dual-branch Dilated Network with Phase-aware Fourier Convolution for Low-light Image Enhancement
- Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
- Explainability in subgraphs-enhanced Graph Neural Networks
- A Deep Moving-camera Background Model
- An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos
- ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
- iDF-SLAM: End-to-End RGB-D SLAM with Neural Implicit Mapping and Deep Feature Tracking
- On Developing Facial Stress Analysis and Expression Recognition Platform
- Algorithmic decision making methods for fair credit scoring
- Estimation of Optical Aberrations in 3D Microscopic Bioimages
All 180
- Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
- MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
- 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs
- TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM
- Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
- Model Predictive Robustness of Signal Temporal Logic Predicates
- Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
- Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning
- LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
- GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model
- Whole-Body Lesion Segmentation in 18F-FDG PET/CT
- FairGBM: Gradient Boosting with Fairness Constraints
- Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES
- 3D Matting: A Soft Segmentation Method Applied in Computed Tomography
- Findings of the Shared Task on Multilingual Coreference Resolution
- Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection
- Negation, Coordination, and Quantifiers in Contextualized Language Models
- Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets
- Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
- Weakly Supervised Semantic Segmentation via Progressive Patch Learning
- Model-based gym environments for limit order book trading
- Quantization for decentralized learning under subspace constraints
- Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels
- SPGP: Structure Prototype Guided Graph Pooling
- Properties of Reddit News Topical Interactions
- Truthful Generalized Linear Models
- Serialized Interacting Mixed Membership Stochastic Block Model
- Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
- M2DQN: A Robust Method for Accelerating Deep Q-learning Network
- Single Image Deraining via Rain-Steaks Aware Deep Convolutional Neural Network
- Model Inversion Attacks against Graph Neural Networks
- SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence
- A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
- Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
- The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
- DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data
- KaliCalib: A Framework for Basketball Court Registration
- A Large-scale Multiple-objective Method for Black-box Attack against Object Detection
- PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition
- Double logistic regression approach to biased positive-unlabeled data
- Spatial-then-Temporal Self-Supervised Learning for Video Correspondence
- Jaco: An Offline Running Privacy-aware Voice Assistant
- Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning
- Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
- An Empirical Study of Automatic Post-Editing
- Game-theoretic Objective Space Planning
- On the Robustness of Graph Neural Diffusion to Topology Perturbations
- PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation
- Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn
- Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources
- SF-DST: Few-Shot Self-Feeding Reading Comprehension Dialogue State Tracking with Auxiliary Task
- Computing Abductive Explanations for Boosted Trees
- DMFormer: Closing the Gap Between CNN and Vision Transformers
- Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
- Enhance the Visual Representation via Discrete Adversarial Training
- CenterLineDet: CenterLine Graph Detection for Road Lanes with Vehicle-mounted Sensors by Transformer for HD Map Generation
- VINet: Visual and Inertial-based Terrain Classification and Adaptive Navigation over Unknown Terrain
- A Mosquito is Worth 16x16 Larvae: Evaluation of Deep Learning Architectures for Mosquito Larvae Classification
- Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
- Comments on "Iteratively Re-weighted Algorithm for Fuzzy c-Means"
- Continual Learning with Dependency Preserving Hypernetworks
- LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images
- Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images
- Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
- Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
- Graph Contrastive Learning with Cross-view Reconstruction
- Selecting Stickers in Open-Domain Dialogue through Multitask Learning
- Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
- Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
- Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder
- SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction
- Learning Pair Potentials using Differentiable Simulations
- ConFiguRe: Exploring Discourse-level Chinese Figures of Speech
- Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
- Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
- Can There be Art Without an Artist?
- On the Relation between Sensitivity and Accuracy in In-context Learning
- Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing
- Self-Attentive Pooling for Efficient Deep Learning
- Multiscale Adaptive Scheduling and Path-Planning for Power-Constrained UAV-Relays via SMDPs