Papers
12094 papers
ICLR2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Summary pending...
Deep weight spaceGraph neural networksTransformers
ICLR2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Summary pending...
Safe offline reinforcement learningHamilton-Jacobi reachabilitydiffusion model
ICLR2024
Expressivity of ReLU-Networks under Convex Relaxations
Summary pending...
Convex RelaxationsNeural Network VerificationCertified Robustness
ICLR2024
Adversarial Feature Map Pruning for Backdoor
Summary pending...
Backdoor DefenseData Poisoning
ICLR2024
PolyVoice: Language Models for Speech to Speech Translation
Summary pending...
Speech-to-Speecn TranslatiomAudio Language ModelVoice Clone
ICLR2024
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
Summary pending...
Pre-training Tabular EncoderPre-trainingHeterogeneous Tabular Data
ICLR2024
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Summary pending...
Graph Contrastive LearningSpectral Graph Neural NetworksPolynomial Filter
ICLR2024
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Summary pending...
Large Language ModelAlignmentAttack
ICLR2024
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Summary pending...
Multi-agent reinforcement learningepisodic controlepisodic incentive
ICLR2024
Scaling Convex Neural Networks with Burer-Monteiro Factorization
Summary pending...
burer-monteiroconvex optimizationneural networks
ICLR2024
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Summary pending...
quantizationcompressionlarge language models
ICLR2024
CoLiDE: Concomitant Linear DAG Estimation
Summary pending...
directed acyclic graphconcomitant scale estimationcausal discovery
ICLR2024
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Summary pending...
time-seriescontrastive learningmasked reconstruction
ICLR2024
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Summary pending...
Self-consistencyChain-of-ThoughtsMulti-Step Reasoning
ICLR2024
Frequency-Aware Transformer for Learned Image Compression
Summary pending...
learned image compressionfrequency-awaretransformer
ICLR2024
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
Summary pending...
FairnessMulti-Agent Reinforcement LearningMarkov Decision Process
ICLR2024
Reward Model Ensembles Help Mitigate Overoptimization
Summary pending...
ensemblesoveroptimizationRLHF
ICLR2024
CABINET: Content Relevance-based Noise Reduction for Table Question Answering
Summary pending...
Table Question AnsweringLarge Language ModelsNoise Reduction
ICLR2024
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Summary pending...
Implicit Neural RepresentationCoordinate NetworkMulti-resolution
ICLR2024
Do Generated Data Always Help Contrastive Learning?
Summary pending...
Contrastive LearningDiffusion ModelRepresentation Learning