Papers
Sun 12 Feb 2023
75 papers
- LiT Tuned Models for Efficient Species DetectionMultimodal LLMs / vision-language models → Agricultural vision-language models
- Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault DataKnowledge distillation → Distillation for continual learning
- Single Motion DiffusionDiffusion models → Video generation
- I2SB: Image-to-Image Schr"odinger BridgeDiffusion models → Diffusion foundations and sampling
- NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency
- Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
- Scientific Computing with Diffractive Optical Neural Networks
- Deep Learning in Healthcare: An In-Depth Analysis
- Contrastive Learning and the Emergence of Attributes Associations
- Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification
- Transformer models: an introduction and catalog
- AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation
- Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
- A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training
- Optimizing Floors in First Price Auctions: an Empirical Study of Yahoo Advertising
- A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- Online Recommendations for Agents with Discounted Adaptive Preferences
- Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL
- ASR Bundestag: A Large-Scale political debate dataset in German
- Near-optimal learning with average H"older smoothness
- Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview
- Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications
- Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
- Quantum Neuron Selection: Finding High Performing Subnetworks With Quantum Algorithms
- MarioGPT: Open-Ended Text2Level Generation through Large Language Models
- Review of Extreme Multilabel Classification
- Self-supervised pseudo-colorizing of masked cells
- RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
- Recursive Estimation of Conditional Kernel Mean Embeddings
- Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming
- SpReME: Sparse Regression for Multi-Environment Dynamic Systems
- Rapid Development of Compositional AI
- SemanticAC: Semantics-Assisted Framework for Audio Classification
- Mean Field Optimization Problem Regularized by Fisher Information
- Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
- Generalization Ability of Wide Neural Networks on ℝ
- Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking
- Transfer Learning for Bayesian Optimization: A Survey
- Physics informed WNO
- Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
- Efficient Fraud Detection Using Deep Boosting Decision Trees
- Vector Quantized Wasserstein Auto-Encoder
- Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes
- Variational Voxel Pseudo Image Tracking
- An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
- LipLearner: Customizable Silent Speech Interactions on Mobile Devices
- On Comparing Fair Classifiers under Data Bias
- Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
- Entanglement as a Method to Reduce Uncertainty
- Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
- Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia
- TextDefense: Adversarial Text Detection based on Word Importance Entropy
- USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
- Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue
- An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns
- Exploration of carbonate aggregates in road construction using ultrasonic and artificial intelligence approaches
- From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
- A generalizable framework for low-rank tensor completion with numerical priors
- Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
- "Why is this misleading?": Detecting News Headline Hallucinations with Explanations
- Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension
- 3D Molecular Generation via Virtual Dynamics
- OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching
- Graph Matching Optimization Network for Point Cloud Registration
- A Human-Centered Review of Algorithms in Decision-Making in Higher Education
- Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards
- Theory on Forgetting and Generalization of Continual Learning
- Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution
- Tighter PAC-Bayes Bounds Through Coin-Betting
- Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Koopman-based generalization bound: New aspect for full-rank weights
- Data efficiency and extrapolation trends in neural network interatomic potentials
- Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles