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CS6316 Project Ideas

Instructions

  • Improve existing algorithms for a well-studied machine learning problem to address their shortcomings
  • Investigate a new learning problem that is seldom studied before
  • Refer to ICML, NeurIPS, ICLR, AAAI, IJCAI, JMLR, TPAMI

Recent Hot topics

ICML

  • Graph
  • Chemistry/Protein
  • Audio/Speech
  • diffusion
  • Multimodal
  • Audio/Speech
  • LLM
  • Watermark LLM
  • software/code
  • Federated Learning
  • Reinforcement Learning
  • Bandits
  • Causal/Treatment
  • Timeseries
  • Spike NN

NeurIPS

  • Applications
    • Chemistry and Drug Discovery
    • Climate
    • Everything Else
    • Genetics, Cell Biology, etc
    • Health
    • Language, Speech and Dialog
    • Neuroscience, Cognitive Science
    • Physics
    • Robotics
    • Time Series
  • Computer Vision
    • Rendering &; Reconstruction
    • Classification and Understanding
    • Everything Else
    • Image and Video Generation
    • Segmentation
    • Vision Models & Multimodal
  • Data-centric AI
    • Data augmentation
    • Data-centric AI methods and tools
    • Everything Else
  • Deep Learning
    • Algorithms
    • Attention Mechanisms
    • Everything Else
    • Generative Models and Autoencoders
    • Graph Neural Networks
    • Robustness
    • Theory
  • General Machine Learning
    • Causality
    • Everything Else
    • Representation Learning
    • Transfer, Multitask and Meta-learning
  • Optimization
    • Bayesian & Black-box Optimization
    • Discrete Optimization
    • Everything Else
    • Large Scale, Parallel and Distributed
    • Neural Network Optimization
    • Optimization and Learning under Uncertainty
    • Stochastic & Convex Optimization
  • Probabilistic Methods
    • Bayesian Models and Methods
    • Everything Else
    • Gaussian Processes
    • Monte Carlo and Sampling Methods
  • Reinforcement Learning
    • Batch Offline
    • Deep RL
    • Everything Else
    • Multi-agent
  • Social Aspects
    • Accountability, Transparency and Interpretability
    • Everything Else
    • Fairness, Equity, Justice and Safety
    • Privacy-preserving Statistics and Machine Learning
    • Trustworthy Machine Learning
  • Theory
    • Domain Adaptation and Transfer Learning
    • Everything Else
    • Game Theory
    • Learning Theory
    • Reinforcement Learning and Planning

Ideas

  • Any way to integrate LoRA for fine tuning in a novel setting

LoRA For continued pre-training