Papers
12094 papers
ICLR2024
Uncertainty-aware Graph-based Hyperspectral Image Classification
Summary pending...
Uncertainty QuantificationGraphHyperspectral Image Classification
ICLR2024
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
Summary pending...
Semi-Supervised Learning; Robustness; Open Environments
ICLR2024
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Summary pending...
sRGB real noise modelingNormalizing flowLow-level vision
ICLR2024
Pushing Boundaries: Mixup's Influence on Neural Collapse
Summary pending...
mixupneural collapseunconstrained features model
ICLR2024
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
Summary pending...
linear attentiontransformers
ICLR2024
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
Summary pending...
self-supervised learningdeep one-class cilassification
ICLR2024
Enhancing Instance-Level Image Classification with Set-Level Labels
Summary pending...
set-level labelsfast excess risk raterepresentation learning
ICLR2024
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Summary pending...
BiasFairnessLLM
ICLR2024
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Summary pending...
data pruningdataset distillationrandom sampling
ICLR2024
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Summary pending...
Large Language ModelsExpert-level Prompt OptimizationStrategic Planning
ICLR2024
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
Summary pending...
Federated LearningReinforcement LearningQ-Learning
ICLR2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Summary pending...
Selection BiasNeighborhood effectRecommender system
ICLR2024
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
Summary pending...
grokkingimplicit biasmargin
ICLR2024
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Summary pending...
TransformerTransformer DecoderDecoder-Only Transformer
ICLR2024
Training Diffusion Models with Reinforcement Learning
Summary pending...
reinforcement learningRLHFdiffusion models
ICLR2024
Doubly Robust Instance-Reweighted Adversarial Training
Summary pending...
adversarial trainingdistributionally robust optimizationbilevel optimization
ICLR2024
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Summary pending...
relational representation learningattentiontransformers
ICLR2024
In-Context Learning through the Bayesian Prism
Summary pending...
In-context LearningTransformersInductive Biases
ICLR2024
Safe Collaborative Filtering
Summary pending...
recommender systemscollaborative filteringscalability
ICLR2024
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
Summary pending...
Graph Neural NetworksGNNExplainability