Papers
Thu 20 Oct 2022
229 papers
- Graphically Structured Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Large Language Models Can Self-ImproveLLM reasoning → Test-time compute and efficient thinking +1
- New data poison attacks on machine learning classifiers for mobile exfiltrationLLM safety and security → Backdoor and data poisoning attacks
- Learning and Retrieval from Prior Data for Skill-based Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- DiffEdit: Diffusion-based semantic image editing with mask guidanceDiffusion models → Image generation, text-to-image and editing
- VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal PriorsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Proof of Unlearning: Definitions and InstantiationLLM safety and security → Machine unlearning
- MoCoDA: Model-based Counterfactual Data AugmentationOffline RL and imitation learning from data → Offline RL algorithms
- Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning TransformersLLM reasoning → Reasoning benchmarks and evaluation
- Robust Imitation via Mirror Descent Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge DistillationKnowledge distillation → Graph neural network distillation
- Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID ScenarioLLM safety and security → Federated unlearning and poisoning
- Representation Learning with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Task Phasing: Automated Curriculum Learning from DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning
- Diffusion Models already have a Semantic Latent SpaceDiffusion models → Diffusion foundations and sampling
- Combining Neuro-Evolution of Augmenting Topologies with Convolutional Neural Networks
- Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
- Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning
- AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
- Chaos Theory and Adversarial Robustness
- A Complete Recipe for Bayesian Knowledge Transfer: Object Tracking
- Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching
- GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
- Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data
- End-to-End Context-Aided Unicity Matching for Person Re-identification
- DIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL for Lithium-Ion Batteries
- JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
- Improving Semi-supervised End-to-end Automatic Speech Recognition using CycleGAN and Inter-domain Losses
- HesScale: Scalable Computation of Hessian Diagonals
- Slippage-robust Gaze Tracking for Near-eye Display
- Using Large Language Models to Enhance Programming Error Messages
- Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?
- Sparse Dynamical Features generation, application to Parkinson's Disease diagnosis
- SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
- LOT: Layer-wise Orthogonal Training on Improving ℓ2 Certified Robustness
- Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
- Boosting Natural Language Generation from Instructions with Meta-Learning
- Generalized Reciprocal Perspective
- Searching for a higher power in the human evaluation of MT
- Tag-Set-Sequence Learning for Generating Question-Answer Pairs
- Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
- 3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows
- gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs
- The VolcTrans System for WMT22 Multilingual Machine Translation Task
- Identifying Human Strategies for Generating Word-Level Adversarial Examples
- Photo-realistic 360 Head Avatars in the Wild
- XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
- Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
- Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
- Deep Learning for Diagonal Earlobe Crease Detection
- Model-based Lifelong Reinforcement Learning with Bayesian Exploration
- Global Convergence of Direct Policy Search for State-Feedback H_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
- LiBeamsNet: AUV Velocity Vector Estimation in Situations of Limited DVL Beam Measurements
- Rethinking Learning Approaches for Long-Term Action Anticipation
- Dense Paraphrasing for Textual Enrichment
- Local SGD in Overparameterized Linear Regression
- Low-Rank Representations Towards Classification Problem of Complex Networks
- Finding Dataset Shortcuts with Grammar Induction
- Learning Attention Propagation for Compositional Zero-Shot Learning
- H4VDM: H.264 Video Device Matching
- Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming
- Object Goal Navigation Based on Semantics and RGB Ego View
- ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
- An Improved Algorithm for Clustered Federated Learning
- CONSISTENT: Open-Ended Question Generation From News Articles
- DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks
- Theoretical analysis of deep neural networks for temporally dependent observations
- Unsupervised Text Deidentification
- Composing Ensembles of Pre-trained Models via Iterative Consensus
- Learning Sample Reweighting for Accuracy and Adversarial Robustness
- Communication breakdown: On the low mutual intelligibility between human and neural captioning
- Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement
- Multimodal Neural Network For Demand Forecasting
- Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
- Machine-Learning Compression for Particle Physics Discoveries
- A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors
- Improving aircraft performance using machine learning: a review
- VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling
- Choose Your Lenses: Flaws in Gender Bias Evaluation
- i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
- G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
- ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications
- Multi-View Guided Multi-View Stereo
- Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
- Self-Supervised Learning via Maximum Entropy Coding
- Breaking Bad: A Dataset for Geometric Fracture and Reassembly
- MixMask: Revisiting Masking Strategy for Siamese ConvNets
- Global Convergence of SGD On Two Layer Neural Nets
- Bagging in overparameterized learning: Risk characterization and risk monotonization
- How can a Radar Mask its Cognition?
- Snapshot of Algebraic Vision
- Augmentative Topology Agents For Open-Ended Learning
- Cell tracking for live-cell microscopy using an activity-prioritized assignment strategy
- Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density Classes
- Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
- GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network
- Scaling Instruction-Finetuned Language Models
- Similarity of Neural Architectures using Adversarial Attack Transferability
- Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs
All 229
- Learning Rationalizable Equilibria in Multiplayer Games
- Transcending Scaling Laws with 0.1% Extra Compute
- Solving Reasoning Tasks with a Slot Transformer
- TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
- Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence
- Transformer-based Action recognition in hand-object interacting scenarios
- On Representations of Mean-Field Variational Inference
- Transformer-based Global 3D Hand Pose Estimation in Two Hands Manipulating Objects Scenarios
- Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces
- Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances
- On Feature Learning in the Presence of Spurious Correlations
- Deep conditional transformation models for survival analysis
- Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
- Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference
- A Survey on Over-the-Air Computation
- Hypernetworks in Meta-Reinforcement Learning
- SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video
- Play It Back: Iterative Attention for Audio Recognition
- Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
- A Study of Scalarisation Techniques for Multi-Objective QUBO Solving
- Image-Text Retrieval with Binary and Continuous Label Supervision
- A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
- Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning
- The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)
- Tele-Knowledge Pre-training for Fault Analysis
- Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
- Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
- Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
- DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection
- TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
- Causal Structural Hypothesis Testing and Data Generation Models
- In-Vehicle Interface Adaptation to Environment-Induced Cognitive Workload
- Inference from Real-World Sparse Measurements
- RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
- Safe Policy Improvement in Constrained Markov Decision Processes
- A note on diffusion limits for stochastic gradient descent
- Evidence > Intuition: Transferability Estimation for Encoder Selection
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control
- Attacking Motion Estimation with Adversarial Snow
- Context-driven Visual Object Recognition based on Knowledge Graphs
- Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction
- Learning-Augmented Private Algorithms for Multiple Quantile Release
- Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation
- YOWO-Plus: An Incremental Improvement
- Modelling and Explaining Legal Case-based Reasoners through Classifiers
- PalGAN: Image Colorization with Palette Generative Adversarial Networks
- Removing grid structure in angle-resolved photoemission spectra via deep learning method
- Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
- Facial Expression Video Generation Based-On Spatio-temporal Convolutional GAN: FEV-GAN
- Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
- Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks
- Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN
- Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
- Coordinates Are NOT Lonely -- Codebook Prior Helps Implicit Neural 3D Representations
- Content-based Graph Privacy Advisor
- Pre-training Language Models with Deterministic Factual Knowledge
- Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
- From Modelling to Understanding Children's Behaviour in the Context of Robotics and Social Artificial Intelligence
- VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
- Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
- Machine Learning for K-adaptability in Two-stage Robust Optimization
- Transformer-based Entity Typing in Knowledge Graphs
- Reproducibility of the Methods in Medical Imaging with Deep Learning
- General Image Descriptors for Open World Image Retrieval using ViT CLIP
- Sensor interoperability and fusion in signature verification: A case study using tablet PC
- Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
- On-line signature verification using Tablet PC
- A lower confidence sequence for the changing mean of non-negative right heavy-tailed observations with bounded mean
- Super-Resolution and Image Re-projection for Iris Recognition
- Pruning by Active Attention Manipulation
- PAC-Bayesian Learning of Optimization Algorithms
- The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
- Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation
- Robust One-Shot Singing Voice Conversion
- Iterative collaborative routing among equivariant capsules for transformation-robust capsule networks
- Robustcaps: a transformation-robust capsule network for image classification
- Standardized Medical Image Classification across Medical Disciplines
- Large-batch Optimization for Dense Visual Predictions
- Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
- Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance
- MovieCLIP: Visual Scene Recognition in Movies
- Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
- DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion
- Vertical Federated Linear Contextual Bandits
- How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
- Robust Image Registration with Absent Correspondences in Pre-operative and Follow-up Brain MRI Scans of Diffuse Glioma Patients
- Entire Space Counterfactual Learning for Reliable Content Recommendations
- PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
- Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
- Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
- DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition
- A survey on Self Supervised learning approaches for improving Multimodal representation learning
- Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
- Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
- Single Image Super-Resolution Using Lightweight Networks Based on Swin Transformer
- An Attention-Guided and Wavelet-Constrained Generative Adversarial Network for Infrared and Visible Image Fusion
- Multi-Granularity Optimization for Non-Autoregressive Translation
- Towards Sustainable Self-supervised Learning
- SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
- Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification
- Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects
- Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
- Semi-supervised object detection based on single-stage detector for thighbone fracture localization
- Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity
- MBTI Personality Prediction for Fictional Characters Using Movie Scripts
- A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs
- NIFT: Neural Interaction Field and Template for Object Manipulation
- Large-scale learning of generalised representations for speaker recognition
- RAIS: Robust and Accurate Interactive Segmentation via Continual Learning
- PSA-Det3D: Pillar Set Abstraction for 3D object Detection
- MGTUNet: An new UNet for colon nuclei instance segmentation and quantification
- Improving Segmentation of Breast Ultrasound Images: Semi Automatic Two Pointers Histogram Splitting Technique
- Scalable Bayesian Transformed Gaussian Processes
- A Multimodal Sensor Fusion Framework Robust to Missing Modalities for Person Recognition
- Optimal Settings for Cryptocurrency Trading Pairs
- SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
- IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction
- Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
- Optimization on Manifolds via Graph Gaussian Processes
- Geo6D: Geometric Constraints Learning for 6D Pose Estimation
- 3D Human Mesh Construction Leveraging Wi-Fi
- Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation
- Discovering Many Diverse Solutions with Bayesian Optimization
- Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
- Automatic Document Selection for Efficient Encoder Pretraining
- ESPNN: A novel electronic stopping power neural-network code built on the IAEA stopping power database. I. Atomic targets
- Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
- Causally-guided Regularization of Graph Attention Improves Generalizability
- FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information