Papers
Thu 15 Sep 2022
204 papers
- CES-KD: Curriculum-based Expert Selection for Guided Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- On-Device Domain GeneralizationKnowledge distillation → General knowledge distillation methods
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward ShapingOffline RL and imitation learning from data → Offline RL algorithms
- Brain Imaging Generation with Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Layerwise Bregman Representation Learning with Applications to Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- VIPHY: Probing "Visible" Physical Commonsense KnowledgeLLM reasoning → Multimodal reasoning +1
- M^4I: Multi-modal Models Membership InferenceLLM safety and security → Membership inference attacks
- Can Offline Reinforcement Learning Help Natural Language Understanding?
- Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models
- A new family of Constitutive Artificial Neural Networks towards automated model discovery
- How to solve a classification problem using a cooperative tiling Multi-Agent System?
- Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
- Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering
- Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data
- A Reference Model for Common Understanding of Capabilities and Skills in Manufacturing
- Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition
- Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
- Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection
- Part-Based Models Improve Adversarial Robustness
- Compositional Law Parsing with Latent Random Functions
- Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description
- VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network
- Scene Graph Modification as Incremental Structure Expanding
- Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology
- LAVIS: A Library for Language-Vision Intelligence
- MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report
- PTab: Using the Pre-trained Language Model for Modeling Tabular Data
- GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
- Statistical Properties of the Entropy from Ordinal Patterns
- Computing the optimal distributionally-robust strategy to commit to
- Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models
- Application of Liquid Rank Reputation System for Content Recommendation
- Stateful Memory-Augmented Transformers for Efficient Dialogue Modeling
- Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal Burst
- Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
- Hierarchical Superquadric Decomposition with Implicit Space Separation
- Differentiable Bilevel Programming for Stackelberg Congestion Games
- Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask
- Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties
- Hub-aware Random Walk Graph Embedding Methods for Classification
- Towards Improving Calibration in Object Detection Under Domain Shift
- STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead
- Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
- Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period
- PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking
- Theoretical Insight into Batch Normalization: Data Dependant Auto-Tuning of Regularization Rate
- Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites
- The Development of Spatial Attention U-Net for The Recovery of Ionospheric Measurements and The Extraction of Ionospheric Parameters
- TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
- Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
- ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
- Human-level Atari 200x faster
- One-Shot Synthesis of Images and Segmentation Masks
- Understanding of the properties of neural network approaches for transient light curve approximations
- Improving Robust Fairness via Balance Adversarial Training
- MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report
- On the Soft-Subnetwork for Few-shot Class Incremental Learning
- A Survey on the application of Data Science And Analytics in the field of Organised Sports
- OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
- Test-Time Training with Masked Autoencoders
- Distribution Aware Metrics for Conditional Natural Language Generation
- Random initialisations performing above chance and how to find them
- Information Theoretic Measures of Causal Influences during Transient Neural Events
- DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
- Unsupervised Opinion Summarization Using Approximate Geodesics
- Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings
- MRI-MECH: Mechanics-informed MRI to estimate esophageal health
- Hydra Attention: Efficient Attention with Many Heads
- Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
- Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching
- Neural Networks Reduction via Lumping
- On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition
- Omnipredictors for Constrained Optimization
- A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions
- A Unifying Framework for Online Optimization with Long-Term Constraints
- Extended Intelligence
- Efficiency Ordering of Stochastic Gradient Descent
- Automatic Error Analysis for Document-level Information Extraction
- On the Dissipation of Ideal Hamiltonian Monte Carlo Sampler
- Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
- Statistical process monitoring of artificial neural networks
- Machine Reading, Fast and Slow: When Do Models "Understand" Language?
- Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
- FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection
- Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It
- EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring
- Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter
- Private Synthetic Data for Multitask Learning and Marginal Queries
- A Light Recipe to Train Robust Vision Transformers
- From algorithms to action: improving patient care requires causality
- Towards Healing the Blindness of Score Matching
- Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detections
- Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts
- Visual Recognition with Deep Nearest Centroids
- IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture
- Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration
- A Geometric Perspective on Variational Autoencoders
- Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
- Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System
All 204
- Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks
- 3DMM-RF: Convolutional Radiance Fields for 3D Face Modeling
- Continuous MDP Homomorphisms and Homomorphic Policy Gradient
- Measuring Geographic Performance Disparities of Offensive Language Classifiers
- Rethinking Round-Trip Translation for Machine Translation Evaluation
- Overhead-Free Blockage Detection and Precoding Through Physics-Based Graph Neural Networks: LIDAR Data Meets Ray Tracing
- Does CLIP Know My Face?
- Best Arm Identification with Contextual Information under a Small Gap
- A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
- HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation
- Multicalibrated Regression for Downstream Fairness
- Differentially Private Estimation of Hawkes Process
- Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction
- Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion
- MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
- 'UFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution
- Blind and Channel-agnostic Equalization Using Adversarial Networks
- AssembleRL: Learning to Assemble Furniture from Their Point Clouds
- Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
- Graph-to-Text Generation with Dynamic Structure Pruning
- Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection
- Linear Transformations for Cross-lingual Sentiment Analysis
- UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
- Generalization Properties of NAS under Activation and Skip Connection Search
- Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence
- Sound and Complete Verification of Polynomial Networks
- A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
- Recovery Guarantees for Distributed-OMP
- MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
- Number of Attention Heads vs Number of Transformer-Encoders in Computer Vision
- Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment
- Training Neural Networks in Single vs Double Precision
- TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media
- ProAPT: Projection of APT Threats with Deep Reinforcement Learning
- Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
- Adaptive Fairness Improvement Based on Causality Analysis
- Literature Review of the Recent Trends and Applications in various Fuzzy Rule based systems
- Learning to Exploit Elastic Actuators for Quadruped Locomotion
- Morphology-Aware Interactive Keypoint Estimation
- On the detrimental effect of invariances in the likelihood for variational inference
- Risk-aware linear bandits with convex loss
- Semi-supervised Batch Learning From Logged Data
- One-Shot Transfer of Affordance Regions? AffCorrs!
- HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator
- The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance
- COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking
- Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
- The Cost of Training Machine Learning Models over Distributed Data Sources
- 4DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds
- Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
- On Generalization of Decentralized Learning with Separable Data
- LAVOLUTION: Measurement of Non-target Structural Displacement Calibrated by Structured Light
- ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
- Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis
- Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
- Multi-Objective Policy Gradients with Topological Constraints
- Constrained Update Projection Approach to Safe Policy Optimization
- Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation
- Earthquake Phase Association with Graph Neural Networks
- Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling
- DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks
- Responsible AI Implementation: A Human-centered Framework for Accelerating the Innovation Process
- Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
- On the Reuse Bias in Off-Policy Reinforcement Learning
- Fixed-Point Centrality for Networks
- Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation
- uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers
- Efficient learning of nonlinear prediction models with time-series privileged information
- CommunityLM: Probing Partisan Worldviews from Language Models
- GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
- PROB-SLAM: Real-time Visual SLAM Based on Probabilistic Graph Optimization
- MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report
- MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
- Accuracy of the Uzbek stop words detection: a case study on "School corpus"
- MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results
- iFlipper: Label Flipping for Individual Fairness
- Exploring Visual Interpretability for Contrastive Language-Image Pre-training
- Fair Inference for Discrete Latent Variable Models
- Towards self-attention based visual navigation in the real world
- Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles
- Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints
- Langevin Autoencoders for Learning Deep Latent Variable Models
- A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimation
- A semantic hierarchical graph neural network for text classification
- Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction
- Estimating large causal polytrees from small samples
- Out-of-Distribution Representation Learning for Time Series Classification
- Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?
- MR4MR: Mixed Reality for Melody Reincarnation
- FRANS: Automatic Feature Extraction for Time Series Forecasting
- Upper bounds on the Natarajan dimensions of some function classes
- Error Controlled Feature Selection for Ultrahigh Dimensional and Highly Correlated Feature Space Using Deep Learning
- Gromov-Wasserstein Autoencoders
- Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning
- Vision-aided UAV navigation and dynamic obstacle avoidance using gradient-based B-spline trajectory optimization
- Pose Attention-Guided Profile-to-Frontal Face Recognition
- Data Science Approach to predict the winning Fantasy Cricket Team Dream 11 Fantasy Sports
- Stochastic Tree Ensembles for Estimating Heterogeneous Effects
- Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
- PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer
- Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
- Non-Parallel Voice Conversion for ASR Augmentation
- Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
- Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors