Papers
Fri 25 Mar 2022
185 papers
- Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of GapsOffline RL and imitation learning from data → Offline RL algorithms
- Quantifying Demonstration Quality for Robot Learning and GeneralizationOffline RL and imitation learning from data → Robot learning from demonstration
- Preprocessing Reward Functions for InterpretabilityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech SynthesisDiffusion models → Audio, speech and music
- PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer ModelsKnowledge distillation → Multimodal distillation
- hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
- Predicting Clinical Intent from Free Text Electronic Health Records
- Cryogenic Neuromorphic Hardware
- A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data
- Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns
- Probabilistic Embeddings with Laplacian Graph Priors
- Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
- Improving Contrastive Learning with Model Augmentation
- Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
- Analysis of OODA Loop based on Adversarial for Complex Game Environments
- Deep Learning for Encrypted Traffic Classification and Unknown Data Detection
- Deep Learning and Artificial General Intelligence: Still a Long Way to Go
- Learning to segment fetal brain tissue from noisy annotations
- Facial Action Unit Recognition Based on Transfer Learning
- Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors
- A Cross-Domain Approach for Continuous Impression Recognition from Dyadic Audio-Visual-Physio Signals
- A Meta Survey of Quality Evaluation Criteria in Explanation Methods
- On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
- What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation
- CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
- A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
- Canary Extraction in Natural Language Understanding Models
- Spatial Processing Front-End For Distant ASR Exploiting Self-Attention Channel Combinator
- SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
- Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA
- Concept Embedding Analysis: A Review
- On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples
- Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
- AUTOLEX: An Automatic Framework for Linguistic Exploration
- Using Multiple Instance Learning for Explainable Solar Flare Prediction
- Improving Robustness of Jet Tagging Algorithms with Adversarial Training
- Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
- Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning
- A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies
- Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities
- Reinforcement Learning with Action-Free Pre-Training from Videos
- Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images
- Self-supervised Semantic Segmentation Grounded in Visual Concepts
- Data Selection Curriculum for Neural Machine Translation
- Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis
- FD-SLAM: 3-D Reconstruction Using Features and Dense Matching
- TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
- Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
- Quasi-Newton Iteration in Deterministic Policy Gradient
- Compositional optimization of quantum circuits for quantum kernels of support vector machines
- Cluster Algebras: Network Science and Machine Learning
- Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas
- A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
- AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
- Versatile Multi-Modal Pre-Training for Human-Centric Perception
- Spatially Multi-conditional Image Generation
- Playing Lottery Tickets in Style Transfer Models
- Continuous Dynamic-NeRF: Spline-NeRF
- Visual-based Safe Landing for UAVs in Populated Areas: Real-time Validation in Virtual Environments
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
- A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization
- Ensemble Spectral Prediction (ESP) Model for Metabolite Annotation
- Origins of Low-dimensional Adversarial Perturbations
- L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models
- Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
- Analysis of the use of color and its emotional relationship in visual creations based on experiences during the context of the COVID-19 pandemic
- An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
- A World-Self Model Towards Understanding Intelligence
- JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows
- Fast fluorescence lifetime imaging analysis via extreme learning machine
- Efficient-VDVAE: Less is more
- Code Smells for Machine Learning Applications
- High Dimensional Quantum Machine Learning With Small Quantum Computers
- FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation
- Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
- Salt Detection Using Segmentation of Seismic Image
- Digital Fingerprinting of Microstructures
- Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
- Searching for Network Width with Bilaterally Coupled Network
- LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization
- Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
- Unsupervised Image Deraining: Optimization Model Driven Deep CNN
- Speech-enhanced and Noise-aware Networks for Robust Speech Recognition
- Implicit Neural Representations for Variable Length Human Motion Generation
- UKP-SQUARE: An Online Platform for Question Answering Research
- The TerraByte Client: providing access to terabytes of plant data
- Chain-based Discriminative Autoencoders for Speech Recognition
- Learning to Mediate Disparities Towards Pragmatic Communication
- ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
- On the performance of preconditioned methods to solve (Lp)-norm phase unwrapping
- Dense Continuous-Time Optical Flow from Events and Frames
- Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images
- Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models -- and a Deep-learning Solution
- MDsrv -- visual sharing and analysis of molecular dynamics simulations
- Gransformer: Transformer-based Graph Generation
- HYDRA: Competing convolutional kernels for fast and accurate time series classification
- On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks
- Audio-text Retrieval in Context
- StretchBEV: Stretching Future Instance Prediction Spatially and Temporally
- Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
All 185
- Dealing with collinearity in large-scale linear system identification using Bayesian regularization
- DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning
- Semi-Supervised Formality Style Transfer with Consistency Training
- EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition
- Lightweight Graph Convolutional Networks with Topologically Consistent Magnitude Pruning
- Class-Incremental Learning for Action Recognition in Videos
- Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
- Unsupervised Pre-training for Temporal Action Localization Tasks
- Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
- Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle-based network coverage optimization
- Formal Semantics and Formally Verified Validation for Temporal Planning
- ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
- Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints
- Learning Rules from Rewards
- Fast Hybrid Image Retargeting
- Continual Test-Time Domain Adaptation
- Impact of Dataset on Acoustic Models for Automatic Speech Recognition
- Unsupervised Learning of Temporal Abstractions with Slot-based Transformers
- A Visual Navigation Perspective for Category-Level Object Pose Estimation
- Improving Question Answering over Knowledge Graphs Using Graph Summarization
- p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
- An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development
- Personalize Web Searching Strategies Classification and Comparison
- MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation
- Nonparametric Conditional Local Independence Testing
- Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset
- Deformable Butterfly: A Highly Structured and Sparse Linear Transform
- Feature extraction using Spectral Clustering for Gene Function Prediction using Hierarchical Multi-label Classification
- Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies
- EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing
- Efficient Visual Tracking via Hierarchical Cross-Attention Transformer
- SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance
- Generalization bounds for learning under graph-dependence: A survey
- High-Performance Transformer Tracking
- Multimodal Pre-training Based on Graph Attention Network for Document Understanding
- Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation
- Sparse Federated Learning with Hierarchical Personalized Models
- Analysis of the Production Strategy of Mask Types in the COVID-19 Environment
- Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
- EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition
- Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model
- Machine-Learning Based Objective Function Selection for Community Detection
- Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks
- Compare learning: bi-attention network for few-shot learning
- MKQ-BERT: Quantized BERT with 4-bits Weights and Activations
- Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
- Enhancing Transferability of Adversarial Examples with Spatial Momentum
- CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
- Facial Expression Recognition with Swin Transformer
- Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
- Interactive Style Transfer: All is Your Palette
- RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors
- CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
- From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
- Interpretation of Chest x-rays affected by bullets using deep transfer learning
- Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification
- PANDORA: Polarization-Aided Neural Decomposition Of Radiance
- Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
- A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
- A Comparative Survey of Deep Active Learning
- A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage
- Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems
- Randomized Policy Optimization for Optimal Stopping
- Vision Transformer Compression with Structured Pruning and Low Rank Approximation
- MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis
- 3D GAN Inversion for Controllable Portrait Image Animation
- Microstructure Surface Reconstruction from SEM Images: An Alternative to Digital Image Correlation (DIC)
- BCOT: A Markerless High-Precision 3D Object Tracking Benchmark
- Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices
- Nash Neural Networks : Inferring Utilities from Optimal Behaviour
- Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach
- Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map
- Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
- Dealing with Sparse Rewards Using Graph Neural Networks
- Modeling Attrition in Recommender Systems with Departing Bandits
- Learning Losses for Strategic Classification
- Automatic Song Translation for Tonal Languages
- Amortized Projection Optimization for Sliced Wasserstein Generative Models
- Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
- Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
- Qualitative neural network approximation over R and C: Elementary proofs for analytic and polynomial activation
- Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
- GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models
- Point2Seq: Detecting 3D Objects as Sequences